Prospero Teaching is looking for a Science Teacher / Head of science for a Secondary school in Harrow. The school is a mainstream Secondary School with a supportive Science department. The school is going from strength to strength and providing CPD throughout the year. The school does have a 6th form, and are ideally looking for a physic specialist. The position is open to both ECTS and experienced teachers. Depending on performance the school would look at either extending the contract or offering a permanent position. CONTRACT DETAILS Location: Harow Position: Science Teacher / Head of Science Type of work: KS3/KS4/ KS5 Science Teacher Contract or position start date: ASAP Duration / Likely Duration: 1 term Contract type (temp/perm/temp to perm): temp Full time/part time: Full time Minimum rate of pay Minimum rate: GBP155 per day Hours: 8:30 am 4pm, plus parent's evenings EXPERIENCE, TRAINING AND QUALIFICATIONS QTS or equivalent Minimum 1 year Science/ Physics teaching experience in the UK Up to date Safeguarding training issued in the last year TO BE ELIGIBLE FOR THIS ROLE THROUGH PROSPERO TEACHING, YOU MUST: Hold Right to Work in the UK Hold an enhanced child barred list DBS certificate registered with the online update service or be willing to process a new application Provide two professional child related references OTHER If you would like to be considered for this role, please apply with a copy of your up to date CV. Unfortunately, only shortlisted candidates will be contacted. Prospero Teaching is acting as an employment business/education recruitment agency in relation to this vacancy. The successful candidate will be required to register and have passed all safeguarding/vetting checks with Prospero Teaching in order to fill this vacancy. Any adult working with children and vulnerable young people are responsible for safeguarding and protecting the welfare of the children and young people. Prospero Teaching is able to offer the successful candidate: Free, accredited continued professional development courses including safeguarding and behaviour management In-house Training and Development Team JBRP1_UKTJ
May 02, 2024
Full time
Prospero Teaching is looking for a Science Teacher / Head of science for a Secondary school in Harrow. The school is a mainstream Secondary School with a supportive Science department. The school is going from strength to strength and providing CPD throughout the year. The school does have a 6th form, and are ideally looking for a physic specialist. The position is open to both ECTS and experienced teachers. Depending on performance the school would look at either extending the contract or offering a permanent position. CONTRACT DETAILS Location: Harow Position: Science Teacher / Head of Science Type of work: KS3/KS4/ KS5 Science Teacher Contract or position start date: ASAP Duration / Likely Duration: 1 term Contract type (temp/perm/temp to perm): temp Full time/part time: Full time Minimum rate of pay Minimum rate: GBP155 per day Hours: 8:30 am 4pm, plus parent's evenings EXPERIENCE, TRAINING AND QUALIFICATIONS QTS or equivalent Minimum 1 year Science/ Physics teaching experience in the UK Up to date Safeguarding training issued in the last year TO BE ELIGIBLE FOR THIS ROLE THROUGH PROSPERO TEACHING, YOU MUST: Hold Right to Work in the UK Hold an enhanced child barred list DBS certificate registered with the online update service or be willing to process a new application Provide two professional child related references OTHER If you would like to be considered for this role, please apply with a copy of your up to date CV. Unfortunately, only shortlisted candidates will be contacted. Prospero Teaching is acting as an employment business/education recruitment agency in relation to this vacancy. The successful candidate will be required to register and have passed all safeguarding/vetting checks with Prospero Teaching in order to fill this vacancy. Any adult working with children and vulnerable young people are responsible for safeguarding and protecting the welfare of the children and young people. Prospero Teaching is able to offer the successful candidate: Free, accredited continued professional development courses including safeguarding and behaviour management In-house Training and Development Team JBRP1_UKTJ
A fantastic opportunity to join the University of Warwick as a Senior Procurement Manager. Client Details As one of the UK's top ten universities, and one of the top 100 in the world - the only UK university of its generation to achieve such progress - it is our responsibility to bring together our unique strengths of academic excellence, industrial partnerships, creativity and enterprise to plan with confidence for a more impactful future. Notwithstanding our excellent progress, we cannot be satisfied by standing still. Our aim is to be even more successful in 2030 than we are today, as one of the world's exceptional universities, by focusing on supporting our talented staff and students, and giving them the freedom and best environments in which to flourish. In so doing, we will remain committed to development in all our faculties, looking at rebalancing where appropriate. Key goals underpinning the University's vision: Foster a culture of innovation. Facilitate a more inclusive environment for staff and students. Commit to a shared regional leadership, to enhance our local area. Grow our global networks, engagement and influence. Focus on sustainability in research, education, and our campus operations. The University of Warwick offers a diverse, exciting, and rewarding procurement environment, opportunities for personal development and to make a real contribution to the organisation. Description The Central Procurement team is looking to recruit an experienced and passionate Senior Procurement Manager to lead the capital research equipment category , to design and deliver best value contracts and continuous improvement solutions. Leveraging various policies and procedures the Procurement Manager will work closely with Senior stakeholders across the University to deliver strategic and agile Procurement solutions. As a Senior Procurement manager you will lead, plan and develop strategies to deliver an extensive research equipment programme, this role directly supports the Universities position as a leading Russell group university. This post reports into the Head of Procurement departmental Services. The Procurement team at the University of Warwick sits under the Finance department, providing dedicated Procurement support to key University departments such as WMG, RTP, Physics and Engineering. The Procurement department is passionate when delivering procurement and has delivered key contributions to research projects at this University, some recent projects that we have delivered include the vehicle battery production line for UKBIC and the research track and vehicle for CVLR, the capital research equipment programme mainly consists of purchasing research equipment from the value of 100k to 2m per project, consisting of anything from Microscopes and Mass Spectrometers to battery Chambers and Cyclers. This research equipment is mainly externally funded and needs purchasing to strict spend deadlines. Profile Will relish operating within a complex organisational environment, will be dynamic and will build effective relationships with colleagues and suppliers. Will require excellent project management skills to manage a high volume of projects to very strict deadlines Has experience managing a defined portfolio of spend, developing and undertaking category strategies to deliver best value and continuous improvement solutions. Will understand market dynamics and cost drivers and have experience of undertaking a range of sourcing activities including formal tenders and sourcing competitions. Will be a keen negotiator with strong contract management experience to ensure full benefits realisation and robust supplier management. Possesses excellent communication, planning and organisational skills and the ability to foster effective and collaborative relationships across a broad spectrum of stakeholders. Has a proven track record of contributing to the delivery of an efficient, responsive and value generating Procurement service. Will be able to work effectively within a framework of robust procurement, regulatory and audit procedures. Job Offer 50,585- 59,395 (Includes 5,000 non-pensionable market supplement p.a. ) Generous annual leave allowance including Christmas closure and 30 days of paid annual leave. An attractive pension scheme (USS) Pensions url removed . Access to exceptional facilities including a world class Sports and Well-being Hub, Ofsted rated Outstanding (2016) Nursery and the region's leading cultural venue Warwick Arts Centre (fees apply). Wider Finance Office briefings, sector networks and training where appropriate. Hybrid working: a minimum 60% in-office working with optional 40% remote working and subject to wider Finance Office working practices. (In-office days are Monday, Wednesday and Thursday). The role is advertised full time (36.5 hours per week) however we would consider applications from individuals interested in working part time hours (a minimum of 30 hours), subject to operational needs. If you are seeking to work part time, please state your minimum and maximum hours (which may be the same) when you apply.
May 02, 2024
Full time
A fantastic opportunity to join the University of Warwick as a Senior Procurement Manager. Client Details As one of the UK's top ten universities, and one of the top 100 in the world - the only UK university of its generation to achieve such progress - it is our responsibility to bring together our unique strengths of academic excellence, industrial partnerships, creativity and enterprise to plan with confidence for a more impactful future. Notwithstanding our excellent progress, we cannot be satisfied by standing still. Our aim is to be even more successful in 2030 than we are today, as one of the world's exceptional universities, by focusing on supporting our talented staff and students, and giving them the freedom and best environments in which to flourish. In so doing, we will remain committed to development in all our faculties, looking at rebalancing where appropriate. Key goals underpinning the University's vision: Foster a culture of innovation. Facilitate a more inclusive environment for staff and students. Commit to a shared regional leadership, to enhance our local area. Grow our global networks, engagement and influence. Focus on sustainability in research, education, and our campus operations. The University of Warwick offers a diverse, exciting, and rewarding procurement environment, opportunities for personal development and to make a real contribution to the organisation. Description The Central Procurement team is looking to recruit an experienced and passionate Senior Procurement Manager to lead the capital research equipment category , to design and deliver best value contracts and continuous improvement solutions. Leveraging various policies and procedures the Procurement Manager will work closely with Senior stakeholders across the University to deliver strategic and agile Procurement solutions. As a Senior Procurement manager you will lead, plan and develop strategies to deliver an extensive research equipment programme, this role directly supports the Universities position as a leading Russell group university. This post reports into the Head of Procurement departmental Services. The Procurement team at the University of Warwick sits under the Finance department, providing dedicated Procurement support to key University departments such as WMG, RTP, Physics and Engineering. The Procurement department is passionate when delivering procurement and has delivered key contributions to research projects at this University, some recent projects that we have delivered include the vehicle battery production line for UKBIC and the research track and vehicle for CVLR, the capital research equipment programme mainly consists of purchasing research equipment from the value of 100k to 2m per project, consisting of anything from Microscopes and Mass Spectrometers to battery Chambers and Cyclers. This research equipment is mainly externally funded and needs purchasing to strict spend deadlines. Profile Will relish operating within a complex organisational environment, will be dynamic and will build effective relationships with colleagues and suppliers. Will require excellent project management skills to manage a high volume of projects to very strict deadlines Has experience managing a defined portfolio of spend, developing and undertaking category strategies to deliver best value and continuous improvement solutions. Will understand market dynamics and cost drivers and have experience of undertaking a range of sourcing activities including formal tenders and sourcing competitions. Will be a keen negotiator with strong contract management experience to ensure full benefits realisation and robust supplier management. Possesses excellent communication, planning and organisational skills and the ability to foster effective and collaborative relationships across a broad spectrum of stakeholders. Has a proven track record of contributing to the delivery of an efficient, responsive and value generating Procurement service. Will be able to work effectively within a framework of robust procurement, regulatory and audit procedures. Job Offer 50,585- 59,395 (Includes 5,000 non-pensionable market supplement p.a. ) Generous annual leave allowance including Christmas closure and 30 days of paid annual leave. An attractive pension scheme (USS) Pensions url removed . Access to exceptional facilities including a world class Sports and Well-being Hub, Ofsted rated Outstanding (2016) Nursery and the region's leading cultural venue Warwick Arts Centre (fees apply). Wider Finance Office briefings, sector networks and training where appropriate. Hybrid working: a minimum 60% in-office working with optional 40% remote working and subject to wider Finance Office working practices. (In-office days are Monday, Wednesday and Thursday). The role is advertised full time (36.5 hours per week) however we would consider applications from individuals interested in working part time hours (a minimum of 30 hours), subject to operational needs. If you are seeking to work part time, please state your minimum and maximum hours (which may be the same) when you apply.
ECOM are partnered with an exciting software development company based in Manchester who are looking for a Head of Data Science. As the Head of Data Science, you will be at forefront of the technical and strategic vision in the analytics and data science domain. Your expertise and leadership experience in the data science domain will help influence and shape the future of data-driven products. Your day-to-day responsibilities will include: Leading the UK Data Science Team (8 Direct reports) Collaborate with the engineering and product practices. Team management, including recruitment, onboarding, and developing of top talent. Partner closely with C-Suite management to present project/product results Help drive end to end data science and implement AI/Machine Learning Ensuring that all data science deliverables meet the highest standards of quality, accuracy & reliability Leading the end-to-end process of model development Who You Are: Have a master's or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a variety of models. Excellent communication skills and collaboration skills with the ability to work with cross-functional teams. Ability to communicate effectively and explain technical/complex concepts to non-technical stakeholders Experienced in Python, SQL, Tensorflow and a cloud platform Our client is an exciting phase of their growth and as a Head of Data Science you will have the opportunity to put your stamp on an already established business during this phase of development. Operating with a hybrid business model, you'll be required to come into the Manchester office 2 days per week to collaborate with fellow colleagues. For your hard work you'll receive a very competitive salary of up to £130,000 per year, equity, private health insurance and much more. If you're interested in finding out more information, please apply through the link below and I'll contact you ASAP. InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
May 02, 2024
Full time
ECOM are partnered with an exciting software development company based in Manchester who are looking for a Head of Data Science. As the Head of Data Science, you will be at forefront of the technical and strategic vision in the analytics and data science domain. Your expertise and leadership experience in the data science domain will help influence and shape the future of data-driven products. Your day-to-day responsibilities will include: Leading the UK Data Science Team (8 Direct reports) Collaborate with the engineering and product practices. Team management, including recruitment, onboarding, and developing of top talent. Partner closely with C-Suite management to present project/product results Help drive end to end data science and implement AI/Machine Learning Ensuring that all data science deliverables meet the highest standards of quality, accuracy & reliability Leading the end-to-end process of model development Who You Are: Have a master's or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a variety of models. Excellent communication skills and collaboration skills with the ability to work with cross-functional teams. Ability to communicate effectively and explain technical/complex concepts to non-technical stakeholders Experienced in Python, SQL, Tensorflow and a cloud platform Our client is an exciting phase of their growth and as a Head of Data Science you will have the opportunity to put your stamp on an already established business during this phase of development. Operating with a hybrid business model, you'll be required to come into the Manchester office 2 days per week to collaborate with fellow colleagues. For your hard work you'll receive a very competitive salary of up to £130,000 per year, equity, private health insurance and much more. If you're interested in finding out more information, please apply through the link below and I'll contact you ASAP. InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
May 02, 2024
Full time
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
Requisition #: 14182 Our Mission: Powering Innovation That Drives Human Advancement When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The R&D Verification Engineer II is responsible for the automated testing activities of Motor-CAD, a multiphysics simulation tool utilizing complex FEA and analytical methods. In this role, the R&D Verification Engineer II use advanced engineering and software skills to help the team tackle complex issues and ensure that product requirements and quality standards are met. As a graduate with a good degree in computer science or a related field and some commercial software experience, you will join a growing and dynamic team to support the development of class-leading software. You will be a self-starter, responsible for managing your own tasks and working collaboratively. This is an excellent opportunity to bring your software skills to make a big impact in electric motor design and sustainable clean energy products. Key Duties and Responsibilities Perform automated testing activities, including the implementation, maintenance, monitoring and verification of automated build and test processes Create test plans and contribute to testing initiatives, participate in defect management Collaborate with others to analyse product features and develop automated test cases to maximise coverage Apply technical and professional knowledge in specialized areas and investigate issues in both product functionality and processes/deployments Maintain tools, infrastructure, build and testing environments for product creation team Understands and employs best practices Minimum Education/Certification Requirements and Experience BSc in Computer Science, Engineering, or related field (2:1 or above) with 2 years' experience, or MS with no experience Strong computing skills with demonstrated knowledge of software development processes and technology Passion for crafting robust and efficient automated build and testing processes that will support developers in creating world-class software Preferred Qualifications and Skills Commercial experience with CI/CD tools e.g. Azure DevOps Experience with Python and shell scripting Understanding/experience of the unique testing challenges posed by simulation software and how standard testing practices can be adapted to suit real-life engineering needs Experience of commercial software development Ability to learn quickly and to collaborate with others in a geographically distributed team Strong aptitude in Physics and Mathematics Knowledge of software development tools At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: the commitments to our stakeholders, the behaviors of how we work together, and the actions of how we deliver results. Together as ONE Ansys, we are powering innovation that drives human advancement. Our Commitments: Amaze with innovative products and solutions Make our customers incredibly successful Act with integrity Ensure employees thrive and shareholders prosper Our Values: Adaptability: Be open, welcome what's next Courage: Be courageous, move forward passionately Generosity: Be generous, share, listen, serve Authenticity: Be you, make us stronger Our Actions: We commit to audacious goals We work seamlessly as a team We demonstrate mastery We deliver outstanding results INCLUSION IS AT OUR CORE We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive. WELCOME WHAT'S NEXT IN YOUR CAREER AT ANSYS At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high - met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it's about the learning, the discovery, and the collaboration. It's about the "what's next" as much as the "mission accomplished." And it's about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics. CREATING A PLACE WE'RE PROUD TO BE Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Newsweek's Most Loved Workplace globally and in the U.S., Gold Stevie Award Winner, America's Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (Belgium, China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, and U.K.). For more information, please visit us at Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.
May 01, 2024
Full time
Requisition #: 14182 Our Mission: Powering Innovation That Drives Human Advancement When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The R&D Verification Engineer II is responsible for the automated testing activities of Motor-CAD, a multiphysics simulation tool utilizing complex FEA and analytical methods. In this role, the R&D Verification Engineer II use advanced engineering and software skills to help the team tackle complex issues and ensure that product requirements and quality standards are met. As a graduate with a good degree in computer science or a related field and some commercial software experience, you will join a growing and dynamic team to support the development of class-leading software. You will be a self-starter, responsible for managing your own tasks and working collaboratively. This is an excellent opportunity to bring your software skills to make a big impact in electric motor design and sustainable clean energy products. Key Duties and Responsibilities Perform automated testing activities, including the implementation, maintenance, monitoring and verification of automated build and test processes Create test plans and contribute to testing initiatives, participate in defect management Collaborate with others to analyse product features and develop automated test cases to maximise coverage Apply technical and professional knowledge in specialized areas and investigate issues in both product functionality and processes/deployments Maintain tools, infrastructure, build and testing environments for product creation team Understands and employs best practices Minimum Education/Certification Requirements and Experience BSc in Computer Science, Engineering, or related field (2:1 or above) with 2 years' experience, or MS with no experience Strong computing skills with demonstrated knowledge of software development processes and technology Passion for crafting robust and efficient automated build and testing processes that will support developers in creating world-class software Preferred Qualifications and Skills Commercial experience with CI/CD tools e.g. Azure DevOps Experience with Python and shell scripting Understanding/experience of the unique testing challenges posed by simulation software and how standard testing practices can be adapted to suit real-life engineering needs Experience of commercial software development Ability to learn quickly and to collaborate with others in a geographically distributed team Strong aptitude in Physics and Mathematics Knowledge of software development tools At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: the commitments to our stakeholders, the behaviors of how we work together, and the actions of how we deliver results. Together as ONE Ansys, we are powering innovation that drives human advancement. Our Commitments: Amaze with innovative products and solutions Make our customers incredibly successful Act with integrity Ensure employees thrive and shareholders prosper Our Values: Adaptability: Be open, welcome what's next Courage: Be courageous, move forward passionately Generosity: Be generous, share, listen, serve Authenticity: Be you, make us stronger Our Actions: We commit to audacious goals We work seamlessly as a team We demonstrate mastery We deliver outstanding results INCLUSION IS AT OUR CORE We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive. WELCOME WHAT'S NEXT IN YOUR CAREER AT ANSYS At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high - met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it's about the learning, the discovery, and the collaboration. It's about the "what's next" as much as the "mission accomplished." And it's about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics. CREATING A PLACE WE'RE PROUD TO BE Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Newsweek's Most Loved Workplace globally and in the U.S., Gold Stevie Award Winner, America's Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (Belgium, China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, and U.K.). For more information, please visit us at Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.
Requisition #: 14182 Our Mission: Powering Innovation That Drives Human Advancement When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The R&D Verification Engineer II is responsible for the automated testing activities of Motor-CAD, a multiphysics simulation tool utilizing complex FEA and analytical methods. In this role, the R&D Verification Engineer II use advanced engineering and software skills to help the team tackle complex issues and ensure that product requirements and quality standards are met. As a graduate with a good degree in computer science or a related field and some commercial software experience, you will join a growing and dynamic team to support the development of class-leading software. You will be a self-starter, responsible for managing your own tasks and working collaboratively. This is an excellent opportunity to bring your software skills to make a big impact in electric motor design and sustainable clean energy products. Key Duties and Responsibilities Perform automated testing activities, including the implementation, maintenance, monitoring and verification of automated build and test processes Create test plans and contribute to testing initiatives, participate in defect management Collaborate with others to analyse product features and develop automated test cases to maximise coverage Apply technical and professional knowledge in specialized areas and investigate issues in both product functionality and processes/deployments Maintain tools, infrastructure, build and testing environments for product creation team Understands and employs best practices Minimum Education/Certification Requirements and Experience BSc in Computer Science, Engineering, or related field (2:1 or above) with 2 years' experience, or MS with no experience Strong computing skills with demonstrated knowledge of software development processes and technology Passion for crafting robust and efficient automated build and testing processes that will support developers in creating world-class software Preferred Qualifications and Skills Commercial experience with CI/CD tools e.g. Azure DevOps Experience with Python and shell scripting Understanding/experience of the unique testing challenges posed by simulation software and how standard testing practices can be adapted to suit real-life engineering needs Experience of commercial software development Ability to learn quickly and to collaborate with others in a geographically distributed team Strong aptitude in Physics and Mathematics Knowledge of software development tools At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: the commitments to our stakeholders, the behaviors of how we work together, and the actions of how we deliver results. Together as ONE Ansys, we are powering innovation that drives human advancement. Our Commitments: Amaze with innovative products and solutions Make our customers incredibly successful Act with integrity Ensure employees thrive and shareholders prosper Our Values: Adaptability: Be open, welcome what's next Courage: Be courageous, move forward passionately Generosity: Be generous, share, listen, serve Authenticity: Be you, make us stronger Our Actions: We commit to audacious goals We work seamlessly as a team We demonstrate mastery We deliver outstanding results INCLUSION IS AT OUR CORE We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive. WELCOME WHAT'S NEXT IN YOUR CAREER AT ANSYS At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high - met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it's about the learning, the discovery, and the collaboration. It's about the "what's next" as much as the "mission accomplished." And it's about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics. CREATING A PLACE WE'RE PROUD TO BE Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Newsweek's Most Loved Workplace globally and in the U.S., Gold Stevie Award Winner, America's Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (Belgium, China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, and U.K.). For more information, please visit us at Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.
May 01, 2024
Full time
Requisition #: 14182 Our Mission: Powering Innovation That Drives Human Advancement When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The R&D Verification Engineer II is responsible for the automated testing activities of Motor-CAD, a multiphysics simulation tool utilizing complex FEA and analytical methods. In this role, the R&D Verification Engineer II use advanced engineering and software skills to help the team tackle complex issues and ensure that product requirements and quality standards are met. As a graduate with a good degree in computer science or a related field and some commercial software experience, you will join a growing and dynamic team to support the development of class-leading software. You will be a self-starter, responsible for managing your own tasks and working collaboratively. This is an excellent opportunity to bring your software skills to make a big impact in electric motor design and sustainable clean energy products. Key Duties and Responsibilities Perform automated testing activities, including the implementation, maintenance, monitoring and verification of automated build and test processes Create test plans and contribute to testing initiatives, participate in defect management Collaborate with others to analyse product features and develop automated test cases to maximise coverage Apply technical and professional knowledge in specialized areas and investigate issues in both product functionality and processes/deployments Maintain tools, infrastructure, build and testing environments for product creation team Understands and employs best practices Minimum Education/Certification Requirements and Experience BSc in Computer Science, Engineering, or related field (2:1 or above) with 2 years' experience, or MS with no experience Strong computing skills with demonstrated knowledge of software development processes and technology Passion for crafting robust and efficient automated build and testing processes that will support developers in creating world-class software Preferred Qualifications and Skills Commercial experience with CI/CD tools e.g. Azure DevOps Experience with Python and shell scripting Understanding/experience of the unique testing challenges posed by simulation software and how standard testing practices can be adapted to suit real-life engineering needs Experience of commercial software development Ability to learn quickly and to collaborate with others in a geographically distributed team Strong aptitude in Physics and Mathematics Knowledge of software development tools At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: the commitments to our stakeholders, the behaviors of how we work together, and the actions of how we deliver results. Together as ONE Ansys, we are powering innovation that drives human advancement. Our Commitments: Amaze with innovative products and solutions Make our customers incredibly successful Act with integrity Ensure employees thrive and shareholders prosper Our Values: Adaptability: Be open, welcome what's next Courage: Be courageous, move forward passionately Generosity: Be generous, share, listen, serve Authenticity: Be you, make us stronger Our Actions: We commit to audacious goals We work seamlessly as a team We demonstrate mastery We deliver outstanding results INCLUSION IS AT OUR CORE We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive. WELCOME WHAT'S NEXT IN YOUR CAREER AT ANSYS At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high - met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it's about the learning, the discovery, and the collaboration. It's about the "what's next" as much as the "mission accomplished." And it's about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics. CREATING A PLACE WE'RE PROUD TO BE Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Newsweek's Most Loved Workplace globally and in the U.S., Gold Stevie Award Winner, America's Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (Belgium, China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, and U.K.). For more information, please visit us at Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 01, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
About Builder.ai We're on a mission to make app building so easy everyone can do it - regardless of their background, tech knowledge or budget. We've already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. And we've only just started! Builder.ai was voted as one of 2023's 'Most Innovative Companies in AI' by Fast Company, and won Europas 2022 'Scaleup of the Year'. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there's never been a more exciting time to become a Builder. Life at Builder.ai At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights. Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder's HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let's-get-stuff-done attitude. In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad Why we need this role Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. Our team is responsible for spearheading a wide range of existing use cases, driving Builder's Code Generation effort, taking ownership of our proprietary knowledge graph and leveraging advanced data analysis to derive valuable insights and make data-driven decisions. Key problems include: Utilizing generative AI for code generation and automating software assembly. Harnessing our proprietary knowledge graph to optimize the customer journey. Advancing internal text-to-image generation capabilities tailored to customer-specific content. Employing historical data to forecast software project price and timeline. Optimizing developer workforce allocation to align with customer demand and business metrics. Analyzing dependency structures and identifying bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. Strong academic research background with a proven track record of accomplishments. Knowledge of graph databases and proficiency in Cypher query language. Familiarity with vector databases and expertise in Retrieval Augmented Generation (RAG). Hands-on experience in self-hosting and fine-tuning of open source Generative AI models. Ability to propose innovative and tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Attractive quarterly OKR bonus plan or commission scheme dependant on your role Stock options in a $450 million funded Series D scale-up company 24 days annual leave + bank holidays 2 x Builder family days each year Time off between Christmas and New Year Generous Referral Bonus scheme Pension contributions Private Medical Insurance provided by AXA Private Dental Insurance provided by Bupa Access to our Perkbox
May 01, 2024
Full time
About Builder.ai We're on a mission to make app building so easy everyone can do it - regardless of their background, tech knowledge or budget. We've already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. And we've only just started! Builder.ai was voted as one of 2023's 'Most Innovative Companies in AI' by Fast Company, and won Europas 2022 'Scaleup of the Year'. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there's never been a more exciting time to become a Builder. Life at Builder.ai At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights. Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder's HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let's-get-stuff-done attitude. In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad Why we need this role Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. Our team is responsible for spearheading a wide range of existing use cases, driving Builder's Code Generation effort, taking ownership of our proprietary knowledge graph and leveraging advanced data analysis to derive valuable insights and make data-driven decisions. Key problems include: Utilizing generative AI for code generation and automating software assembly. Harnessing our proprietary knowledge graph to optimize the customer journey. Advancing internal text-to-image generation capabilities tailored to customer-specific content. Employing historical data to forecast software project price and timeline. Optimizing developer workforce allocation to align with customer demand and business metrics. Analyzing dependency structures and identifying bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. Strong academic research background with a proven track record of accomplishments. Knowledge of graph databases and proficiency in Cypher query language. Familiarity with vector databases and expertise in Retrieval Augmented Generation (RAG). Hands-on experience in self-hosting and fine-tuning of open source Generative AI models. Ability to propose innovative and tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Attractive quarterly OKR bonus plan or commission scheme dependant on your role Stock options in a $450 million funded Series D scale-up company 24 days annual leave + bank holidays 2 x Builder family days each year Time off between Christmas and New Year Generous Referral Bonus scheme Pension contributions Private Medical Insurance provided by AXA Private Dental Insurance provided by Bupa Access to our Perkbox
Do you have a passion for building performance and sustainability? Our Clients Design Division tackles projects across diverse sectors, from homes and hospitals to data centres and factories. Prioritising a balance between aesthetics and functionality, considering crucial factors like sustainability, materials, budget, and practicality.We are searching for an experienced and driven Associate Director to spearhead the Building Performance Team. This leadership role offers the opportunity to make a significant impact on the company's direction and shape the future of sustainable building design. This is an exciting chance for a leader to guide a highly regarded Building Physics and Building Performance Team. You'll leverage your expertise to drive success. Key Responsibilities Include: Manage the Building Performance Team across multiple locations, including mentoring, development, and financial oversight. Allocate resources strategically and collaborate with Building Services teams to ensure timely and budget-conscious delivery of building performance projects. Safeguard the high quality of technical work within the team. Integrate sustainability and net zero carbon (NZC) design strategies seamlessly into projects. Partner with the Operational and Technical Directors to develop and implement UK-wide team strategies. Collaborate with other groups to support architects, ESG specialists, and town planners. Oversee performance, quality, and workflow within the Building Performance Team. Champion multi-disciplinary capabilities in the local market. Identify opportunities to solidify our clients position as a sustainability leader in the built environment. Introduce non-specialist engineers to the IES-VE suite of design tools. Mentor and guide engineers across various teams. Conduct dynamic thermal modelling analysis using IES-VE. Serve as the primary client contact for building performance matters. Who We're Looking For Proven experience leading thermal modelling and energy strategy projects across diverse sectors. Chartered Engineer (CEng) qualification or actively pursuing it. Level 4 and 5 accredited Energy Assessor (LCEA) certification. Experience with NABERS or TM54 design stage operational energy assessments. A strong track record of creating high-quality reports that communicate complex issues and solutions effectively, particularly regarding energy and sustainability strategies. Experience in calculations, model creation, specifications, reports, site surveys, construction stage duties, and client liaison. Experience collaborating with design/construction teams, project managers, and cost estimators to meet project requirements. Prior experience with DfE Education framework building performance and sustainability delivery (ideal). Bonus Points Promote best practices in building physics and modelling through research and development initiatives. Support the team in acquiring BREEAM Credit evidence. Manage the residential team's use of accredited SAP software for Approved Document L assessments within large-scale energy strategies. Lead the production of Energy & Sustainability Statements for development planning applications. Coordinate and manage energy and sustainability input from various stakeholders. Spearhead bids for new projects, including contributing to marketing materials and attending project interviews. Lead building performance design and decolonisation consultancy work. Why Join Our Client? An accredited training provider, offering professional qualifications in leadership, management, executive coaching, and mentoring, from entry-level to master's degree programs. Actively support your journey to becoming a Chartered Engineer (CEng) through guidance, mentorship, and competency development. Provide additional training if required to fulfil the knowledge and understanding requirements of CIBSE or IET. A personalised development plan and a clear career path empower you to take charge of your career progression. Job Title - Associate Director Location - Birmingham, London, Manchester, or Newcastle Type - Permanent, Hybrid Salary - Negotiable, DOE Recruitment Holdings Ltd (RHL) act as an Employment Agency and an Employment Business
May 01, 2024
Full time
Do you have a passion for building performance and sustainability? Our Clients Design Division tackles projects across diverse sectors, from homes and hospitals to data centres and factories. Prioritising a balance between aesthetics and functionality, considering crucial factors like sustainability, materials, budget, and practicality.We are searching for an experienced and driven Associate Director to spearhead the Building Performance Team. This leadership role offers the opportunity to make a significant impact on the company's direction and shape the future of sustainable building design. This is an exciting chance for a leader to guide a highly regarded Building Physics and Building Performance Team. You'll leverage your expertise to drive success. Key Responsibilities Include: Manage the Building Performance Team across multiple locations, including mentoring, development, and financial oversight. Allocate resources strategically and collaborate with Building Services teams to ensure timely and budget-conscious delivery of building performance projects. Safeguard the high quality of technical work within the team. Integrate sustainability and net zero carbon (NZC) design strategies seamlessly into projects. Partner with the Operational and Technical Directors to develop and implement UK-wide team strategies. Collaborate with other groups to support architects, ESG specialists, and town planners. Oversee performance, quality, and workflow within the Building Performance Team. Champion multi-disciplinary capabilities in the local market. Identify opportunities to solidify our clients position as a sustainability leader in the built environment. Introduce non-specialist engineers to the IES-VE suite of design tools. Mentor and guide engineers across various teams. Conduct dynamic thermal modelling analysis using IES-VE. Serve as the primary client contact for building performance matters. Who We're Looking For Proven experience leading thermal modelling and energy strategy projects across diverse sectors. Chartered Engineer (CEng) qualification or actively pursuing it. Level 4 and 5 accredited Energy Assessor (LCEA) certification. Experience with NABERS or TM54 design stage operational energy assessments. A strong track record of creating high-quality reports that communicate complex issues and solutions effectively, particularly regarding energy and sustainability strategies. Experience in calculations, model creation, specifications, reports, site surveys, construction stage duties, and client liaison. Experience collaborating with design/construction teams, project managers, and cost estimators to meet project requirements. Prior experience with DfE Education framework building performance and sustainability delivery (ideal). Bonus Points Promote best practices in building physics and modelling through research and development initiatives. Support the team in acquiring BREEAM Credit evidence. Manage the residential team's use of accredited SAP software for Approved Document L assessments within large-scale energy strategies. Lead the production of Energy & Sustainability Statements for development planning applications. Coordinate and manage energy and sustainability input from various stakeholders. Spearhead bids for new projects, including contributing to marketing materials and attending project interviews. Lead building performance design and decolonisation consultancy work. Why Join Our Client? An accredited training provider, offering professional qualifications in leadership, management, executive coaching, and mentoring, from entry-level to master's degree programs. Actively support your journey to becoming a Chartered Engineer (CEng) through guidance, mentorship, and competency development. Provide additional training if required to fulfil the knowledge and understanding requirements of CIBSE or IET. A personalised development plan and a clear career path empower you to take charge of your career progression. Job Title - Associate Director Location - Birmingham, London, Manchester, or Newcastle Type - Permanent, Hybrid Salary - Negotiable, DOE Recruitment Holdings Ltd (RHL) act as an Employment Agency and an Employment Business
Finance Engineering - Vice President Corporate Treasury - Leap Strats In Corporate Treasury (CT) Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken. Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk. The mission statement of this pillar within CT is two pronged: a classic desk strat role of trading's support for all intercompany bookings which impact various Liquidity/Credit limits as well as building modelling & analytics surrounding liquidity explain & trade recommendations. Job Duties Work as a quantitative strategist to build, enhance and analyse mathematical models designed to optimize liquidity usage in the firm. Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics. Write model documents and execute model validation process in accordance with firm policy for quantitative models. Collaborate with non-engineers to explain model behaviour. Basic Qualifications Advanced degrees (PhD or Masters) in quantitative field such as Engineering, Mathematics, or Physics 5+ years of relevant experience, preferably in the financial services industry Strong analytical, mathematical, and programming background Expertise in Python, or similar language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management. Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
Finance Engineering - Vice President Corporate Treasury - Leap Strats In Corporate Treasury (CT) Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken. Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk. The mission statement of this pillar within CT is two pronged: a classic desk strat role of trading's support for all intercompany bookings which impact various Liquidity/Credit limits as well as building modelling & analytics surrounding liquidity explain & trade recommendations. Job Duties Work as a quantitative strategist to build, enhance and analyse mathematical models designed to optimize liquidity usage in the firm. Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics. Write model documents and execute model validation process in accordance with firm policy for quantitative models. Collaborate with non-engineers to explain model behaviour. Basic Qualifications Advanced degrees (PhD or Masters) in quantitative field such as Engineering, Mathematics, or Physics 5+ years of relevant experience, preferably in the financial services industry Strong analytical, mathematical, and programming background Expertise in Python, or similar language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management. Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
The Role Portfolio Management is responsible for all of this fund's optimisation and allocation research along with monitoring fund performance and reviewing the quant process. As manager of the PM Tech team, you will be responsible for the simulation, analytics, and reporting infrastructure; for monitoring gearing, allocations and implementation shortfall; along with developing and supporting the production optimisers and the engineering needed to implement any outcomes of Portfolio Management research. You will work with Quants and Engineers across the firm and Technology to make this possible. It's a very collaborative role, requiring linking together much of the platform into a consistent high-level view. The role will report into the Co-Head of Front-Office Engineering. Looking for an agile and hands-on technology manager with excellent engineering skills, good financial markets experience, and a good working knowledge of statistics. The Technology Systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content, e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and senior business people alike Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
The Role Portfolio Management is responsible for all of this fund's optimisation and allocation research along with monitoring fund performance and reviewing the quant process. As manager of the PM Tech team, you will be responsible for the simulation, analytics, and reporting infrastructure; for monitoring gearing, allocations and implementation shortfall; along with developing and supporting the production optimisers and the engineering needed to implement any outcomes of Portfolio Management research. You will work with Quants and Engineers across the firm and Technology to make this possible. It's a very collaborative role, requiring linking together much of the platform into a consistent high-level view. The role will report into the Co-Head of Front-Office Engineering. Looking for an agile and hands-on technology manager with excellent engineering skills, good financial markets experience, and a good working knowledge of statistics. The Technology Systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content, e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and senior business people alike Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
A rapid growth gaming firm have created a new role for a Head of Data Engineering. The Head of Data Engineering will work in a Data Rich Testing environment, and be will be tasked with building their own team to help deploy cutting edge Machine Learning techniques in a number of different areas of the company. Reporting into the Head of Data Science & working closely with the CTO and Software Engineering team, the Head of Data Engineering in the first 18 months will also be responsible for: Building the Companies Big Data Lake Pushing out various cutting edge Data Science Models Infrastructure Management around the huge Volumes of Data being collected This role would suit an ambitious Data Engineer coming from a background of either working in a fast growth scale up company, or someone who has worked within a large corporate who has an appetite for taking on more responsibility and autonomy and building tech & a team from scratch. The Head of Data Engineering will require the following experience: Quant Degree such as Maths, Physics, Computer Science, Engineering etc Software Development experience in Python or Scala An understanding of Big Data technologies such as Spark, messaging services like Kafka or RabbitMQ, and workflow management tools like Airflow SQL & NoSQL expertise, ideally including Postgres, Redis, MongoDB etc Experience with AWS, and with tools like Docker & Kubernetes As well as this you will be someone willing to take risks to succeed, even if it means failing a few times. You will be ambitious and excited by the prospect of joining a rapid growth and unique gaming firm, and with the right human qualities to thrive in an unstructured fast growth environment. Send your CV to apply for the Head of Data Engineering role, or get in touch with us if you'd prefer a confidential chat prior to application.
May 01, 2024
Full time
A rapid growth gaming firm have created a new role for a Head of Data Engineering. The Head of Data Engineering will work in a Data Rich Testing environment, and be will be tasked with building their own team to help deploy cutting edge Machine Learning techniques in a number of different areas of the company. Reporting into the Head of Data Science & working closely with the CTO and Software Engineering team, the Head of Data Engineering in the first 18 months will also be responsible for: Building the Companies Big Data Lake Pushing out various cutting edge Data Science Models Infrastructure Management around the huge Volumes of Data being collected This role would suit an ambitious Data Engineer coming from a background of either working in a fast growth scale up company, or someone who has worked within a large corporate who has an appetite for taking on more responsibility and autonomy and building tech & a team from scratch. The Head of Data Engineering will require the following experience: Quant Degree such as Maths, Physics, Computer Science, Engineering etc Software Development experience in Python or Scala An understanding of Big Data technologies such as Spark, messaging services like Kafka or RabbitMQ, and workflow management tools like Airflow SQL & NoSQL expertise, ideally including Postgres, Redis, MongoDB etc Experience with AWS, and with tools like Docker & Kubernetes As well as this you will be someone willing to take risks to succeed, even if it means failing a few times. You will be ambitious and excited by the prospect of joining a rapid growth and unique gaming firm, and with the right human qualities to thrive in an unstructured fast growth environment. Send your CV to apply for the Head of Data Engineering role, or get in touch with us if you'd prefer a confidential chat prior to application.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 01, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Head of Intellectual Property Abingdon Rd, Culham, UK Full-time Salary: £82,815 (inclusive of MPP) + excellent benefits including outstanding pension Site Location: UKAEA Culham, Oxfordshire or Rotherham, Yorkshire Confirmed Grade: Level 7 Company Description By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the worlds energy? If so, read on. Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realising fusion energy, partnering with industry and research for ground-breaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative. Job Description As an employee of UKAEA, you will benefit from: - Outstandingdefined benefit pension scheme, details of which can be found at the end of this advert. - Corporatebonus scheme of up to 7%and aRelocationallowance (if eligible). -Flexible working optionsincluding family friendly policies and the right to request flexible working from the start of your employment. -Employee Assistance Programmeand trained Mental Health First Aiders. -Generous annual leave allowancestarting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays. - Wide range ofcareer development opportunities. - A vibrantculturecommitted to equality and being fully inclusive. The salary for this role is£82,815 (inclusive of a Market Premium Payment (£7,400 MPP and the market premium paymentis non-contractual and non-pensionable. Please Note: Hybrid work is offered, possibility to be primarily remote with onsite presence as needed. The Role Are you looking for an exciting opportunity to make a difference? In this role, you will lead Intellectual Property activities at UKAEA and join a dynamic team supporting the commercialisation of fusion energy. This is an opportunity to dive into a huge breadth of technical and commercial areas, from Plasma Physics to Robotics and from Advanced Computing to Material Science. You will be working with departments and programmes across UKAEA, such as the ambitious STEP programme targeting 2040 to deliver a prototype fusion power plant. You will lead the IP team, which is responsible for ensuring the IP strategy and its implementation support UKAEA in achieving its goals. The role has a strong focus on collaborating with technical and business colleagues, external patent attorneys and external partners to accelerate the exploitation of IP. This role is an opportunity to expand experience and knowledge in both technical and commercial areas and to develop a team in the same way.?This role will help lead the development of an innovation pipeline to create impact including commercialisation from the fantastic ideas and technologies being developed to solve fusion challenges. Additional Responsibilities - Working with Directors and Programme leads across the business to help set IP strategy, strengthening the overall business and devising asset-specific protection strategies. - Have responsibility for the management of a broad and technically diverse IP portfolio (activities include leading on patent and trademark prosecution). - Responsible for Corporate IP risks and mitigations. - Lead the IP team directing work and prioritise where needed and provide line management to the members of the IP team. - Manage the resolution of IP disputes with third parties. - Advising teams across the business on IP terms in third party agreements. - Raising IP awareness in the organisation by creating the strategy and delivering training. - Utilise technical background for reviewing invention disclosures and advising on best protection strategies. - Apply critical thinking and problem-solving skills to conduct focused and comprehensive searches for prior art. - Direct and conduct high-quality patent landscape investigations and inform on potential IP risks and opportunities. Qualifications Essential Requirements - Experience managing an IP team in a technical environment and with a broad IP portfolio. - Strong communication skills to engage with stakeholders from scientists to executive members and external parties. - Self-motivated with the ability to motivate a dynamic team. - Significant experience with reviewing and strategically advising on IP terms in contracts. - Experience supporting patent prosecution and Office Action activities. - Ability to manage a wide range of activities and prioritise according to business needs. - Significant demonstrable experience of patent searching. - Familiarity with different patent analytics tools and platforms. - Strong technical background with a degree in Scientific or Engineering discipline. Additional Information For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. We welcome applications from under-represented groups, particularly individuals from black and other ethnic minority backgrounds, people with disabilities, and women. Our Executive team, supported by our 'Equality, Diversity and Inclusion' (EDI) Partner and Inclusion Ambassadors, actively promotes EDI and takes steps to increase diversity within our organisation. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications. JBRP1_UKTJ
May 01, 2024
Full time
Head of Intellectual Property Abingdon Rd, Culham, UK Full-time Salary: £82,815 (inclusive of MPP) + excellent benefits including outstanding pension Site Location: UKAEA Culham, Oxfordshire or Rotherham, Yorkshire Confirmed Grade: Level 7 Company Description By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the worlds energy? If so, read on. Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realising fusion energy, partnering with industry and research for ground-breaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative. Job Description As an employee of UKAEA, you will benefit from: - Outstandingdefined benefit pension scheme, details of which can be found at the end of this advert. - Corporatebonus scheme of up to 7%and aRelocationallowance (if eligible). -Flexible working optionsincluding family friendly policies and the right to request flexible working from the start of your employment. -Employee Assistance Programmeand trained Mental Health First Aiders. -Generous annual leave allowancestarting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays. - Wide range ofcareer development opportunities. - A vibrantculturecommitted to equality and being fully inclusive. The salary for this role is£82,815 (inclusive of a Market Premium Payment (£7,400 MPP and the market premium paymentis non-contractual and non-pensionable. Please Note: Hybrid work is offered, possibility to be primarily remote with onsite presence as needed. The Role Are you looking for an exciting opportunity to make a difference? In this role, you will lead Intellectual Property activities at UKAEA and join a dynamic team supporting the commercialisation of fusion energy. This is an opportunity to dive into a huge breadth of technical and commercial areas, from Plasma Physics to Robotics and from Advanced Computing to Material Science. You will be working with departments and programmes across UKAEA, such as the ambitious STEP programme targeting 2040 to deliver a prototype fusion power plant. You will lead the IP team, which is responsible for ensuring the IP strategy and its implementation support UKAEA in achieving its goals. The role has a strong focus on collaborating with technical and business colleagues, external patent attorneys and external partners to accelerate the exploitation of IP. This role is an opportunity to expand experience and knowledge in both technical and commercial areas and to develop a team in the same way.?This role will help lead the development of an innovation pipeline to create impact including commercialisation from the fantastic ideas and technologies being developed to solve fusion challenges. Additional Responsibilities - Working with Directors and Programme leads across the business to help set IP strategy, strengthening the overall business and devising asset-specific protection strategies. - Have responsibility for the management of a broad and technically diverse IP portfolio (activities include leading on patent and trademark prosecution). - Responsible for Corporate IP risks and mitigations. - Lead the IP team directing work and prioritise where needed and provide line management to the members of the IP team. - Manage the resolution of IP disputes with third parties. - Advising teams across the business on IP terms in third party agreements. - Raising IP awareness in the organisation by creating the strategy and delivering training. - Utilise technical background for reviewing invention disclosures and advising on best protection strategies. - Apply critical thinking and problem-solving skills to conduct focused and comprehensive searches for prior art. - Direct and conduct high-quality patent landscape investigations and inform on potential IP risks and opportunities. Qualifications Essential Requirements - Experience managing an IP team in a technical environment and with a broad IP portfolio. - Strong communication skills to engage with stakeholders from scientists to executive members and external parties. - Self-motivated with the ability to motivate a dynamic team. - Significant experience with reviewing and strategically advising on IP terms in contracts. - Experience supporting patent prosecution and Office Action activities. - Ability to manage a wide range of activities and prioritise according to business needs. - Significant demonstrable experience of patent searching. - Familiarity with different patent analytics tools and platforms. - Strong technical background with a degree in Scientific or Engineering discipline. Additional Information For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. We welcome applications from under-represented groups, particularly individuals from black and other ethnic minority backgrounds, people with disabilities, and women. Our Executive team, supported by our 'Equality, Diversity and Inclusion' (EDI) Partner and Inclusion Ambassadors, actively promotes EDI and takes steps to increase diversity within our organisation. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications. JBRP1_UKTJ
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.