The Liberty Recruitment Group is excited to be working in partnership with a leading Tech-enabled Analytics Consultancy based in London, who are looking for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your key focus will be: Leading the design and development of new product features, providing a holistic approach to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering data-intensive application experience Python Azure PaaS / SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: It s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you ll be supported to learn and develop your skills in a collaborative, innovative environment. Hybrid working (2 days a week in their London office), discretionary bonus, enhanced pension, private medical insurance, superb wellbeing services and much more
Sep 04, 2025
Full time
The Liberty Recruitment Group is excited to be working in partnership with a leading Tech-enabled Analytics Consultancy based in London, who are looking for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your key focus will be: Leading the design and development of new product features, providing a holistic approach to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering data-intensive application experience Python Azure PaaS / SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: It s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you ll be supported to learn and develop your skills in a collaborative, innovative environment. Hybrid working (2 days a week in their London office), discretionary bonus, enhanced pension, private medical insurance, superb wellbeing services and much more
Job Title: Data Scientist (Modelling & Insight) Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics. Deliver outstanding and actionable customer insights Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group Work collaboratively with other areas to increase overall company performance Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making. Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact Act as a subject matter expert in analytics and data science, providing technical guidance. Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency. Maintain robust technical documentation and ensure compliance with data governance and regulatory standards. Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert. Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes. Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation. Key Skills and Experience: Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication and storytelling skills, with the ability to translate complex data into actionable insights. Experience reviewing the work of junior analysts. Ability to work independently, manage multiple priorities, and proactively share insights. Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.
Sep 04, 2025
Full time
Job Title: Data Scientist (Modelling & Insight) Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics. Deliver outstanding and actionable customer insights Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group Work collaboratively with other areas to increase overall company performance Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making. Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact Act as a subject matter expert in analytics and data science, providing technical guidance. Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency. Maintain robust technical documentation and ensure compliance with data governance and regulatory standards. Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert. Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes. Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation. Key Skills and Experience: Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication and storytelling skills, with the ability to translate complex data into actionable insights. Experience reviewing the work of junior analysts. Ability to work independently, manage multiple priorities, and proactively share insights. Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.
Graduate Computer Scientist needed with outstanding academic qualifications Based in Central London, this growing company have an opportunity for an outstanding computer science graduate to join their development team. You would be helping create sophisticated software which is relied upon by high profile international clients to streamline complex trading and logistics. As their product continued to develop, you would play a key role in designing and implementing new capabilities and ensuring the quality and dependability of their software. This is a challenging role where you will be involved with all parts of the technology stack including algorithm design, data engineering, UI/UX, and backend development. You will be a key part of an expert team, with colleagues from a range of technical fields, so good communication skills and a proactive mindset are essential. Essential attributes and skills: A 1st or 2.1 postgraduate degree in computer science from a world-leading university and A and A grades at A-level (or equivalent) Excellent coding skills in Java, JavaScript and/or TypeScript (above and beyond the university module/practical level) Some experience of working with large existing codebases Practical experience of working in commercial software development environments Not essential, but knowledge of UX/UI, AWS, MongoDB, or Jenkins would all be useful. This a great time to join this successful company as they grow their business. Based in central London, there is scope for some hybrid working once you are established in the role. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27425 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Sep 04, 2025
Full time
Graduate Computer Scientist needed with outstanding academic qualifications Based in Central London, this growing company have an opportunity for an outstanding computer science graduate to join their development team. You would be helping create sophisticated software which is relied upon by high profile international clients to streamline complex trading and logistics. As their product continued to develop, you would play a key role in designing and implementing new capabilities and ensuring the quality and dependability of their software. This is a challenging role where you will be involved with all parts of the technology stack including algorithm design, data engineering, UI/UX, and backend development. You will be a key part of an expert team, with colleagues from a range of technical fields, so good communication skills and a proactive mindset are essential. Essential attributes and skills: A 1st or 2.1 postgraduate degree in computer science from a world-leading university and A and A grades at A-level (or equivalent) Excellent coding skills in Java, JavaScript and/or TypeScript (above and beyond the university module/practical level) Some experience of working with large existing codebases Practical experience of working in commercial software development environments Not essential, but knowledge of UX/UI, AWS, MongoDB, or Jenkins would all be useful. This a great time to join this successful company as they grow their business. Based in central London, there is scope for some hybrid working once you are established in the role. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27425 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
About Us The Microbiology Society is a membership charity for scientists interested in microbes, their effects and their practical uses. It is one of the largest microbiology societies in Europe with a worldwide membership based in universities, industry, hospitals, research institutes and schools. Our members have a unique depth and breadth of knowledge about the discipline. The Society's role is to help unlock and harness the potential of that knowledge. Our commitment to anyone who studies microbes is "whoever you are, wherever you are, we will amplify your voice". Read more about our Mission and Values on our website. "We are interested in every candidate who is eligible to work in the United Kingdom. However, we are not able to sponsor visas." About You We are seeking a Publishing Operations Editor to join our friendly and welcoming team, who are based in Central London. Reporting to the Publishing Operation Lead, the Publishing Operations Editor acts as the operational lead for a selection of journals and will have responsibility for managing peer review and production workflows to deliver the best possible author experience. This role is ideal for graduates, especially those with degrees in science disciplines. Applicants should have excellent interpersonal and time management skills as well as strong computer literacy. Early applications will be prioritised. Please note that the organisation operates a hybrid working policy. For more information about the Society, please visit our website. Our generous benefits package includes; Flexible working hours Highly competitive salaries with an annual cost of living increase 23 days holiday + eight bank holidays and three additional days over the Christmas break 10% employer pension contribution Life insurance including free (health and wellbeing) employee support services Enhanced maternity pay to include 26 weeks of fully paid maternity leave and 13 weeks of statutory maternity pay Enhanced Adoption pay to include 26 weeks of fully paid adoption leave and 13 weeks of statutory adoption pay Season Ticket Loan Scheme Cycle to Work Scheme £50 contribution towards eye care To Apply Please attach your CV and Cover Letter. Please note that only shortlisted candidates will be contacted. Closing date: 15th September 2025. It is important that you DO NOT include your Personal Information i.e. name and contact details in your CV or Cover Letter . This is because the Microbiology Society is an equal opportunities employer and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. We value, promote, and seek diversity. The Society also takes the security of your data seriously. It has internal policies and controls in place to ensure that your data is not lost, accidentally destroyed, misused, or disclosed, and is not accessed except by our employees in the proper performance of their duties. Please note that due to limited resources it is not possible for the Society to acknowledge receipt of applications. If you do not hear from us within two weeks of the closing date, please assume that your application has been unsuccessful on this occasion.
Sep 04, 2025
Full time
About Us The Microbiology Society is a membership charity for scientists interested in microbes, their effects and their practical uses. It is one of the largest microbiology societies in Europe with a worldwide membership based in universities, industry, hospitals, research institutes and schools. Our members have a unique depth and breadth of knowledge about the discipline. The Society's role is to help unlock and harness the potential of that knowledge. Our commitment to anyone who studies microbes is "whoever you are, wherever you are, we will amplify your voice". Read more about our Mission and Values on our website. "We are interested in every candidate who is eligible to work in the United Kingdom. However, we are not able to sponsor visas." About You We are seeking a Publishing Operations Editor to join our friendly and welcoming team, who are based in Central London. Reporting to the Publishing Operation Lead, the Publishing Operations Editor acts as the operational lead for a selection of journals and will have responsibility for managing peer review and production workflows to deliver the best possible author experience. This role is ideal for graduates, especially those with degrees in science disciplines. Applicants should have excellent interpersonal and time management skills as well as strong computer literacy. Early applications will be prioritised. Please note that the organisation operates a hybrid working policy. For more information about the Society, please visit our website. Our generous benefits package includes; Flexible working hours Highly competitive salaries with an annual cost of living increase 23 days holiday + eight bank holidays and three additional days over the Christmas break 10% employer pension contribution Life insurance including free (health and wellbeing) employee support services Enhanced maternity pay to include 26 weeks of fully paid maternity leave and 13 weeks of statutory maternity pay Enhanced Adoption pay to include 26 weeks of fully paid adoption leave and 13 weeks of statutory adoption pay Season Ticket Loan Scheme Cycle to Work Scheme £50 contribution towards eye care To Apply Please attach your CV and Cover Letter. Please note that only shortlisted candidates will be contacted. Closing date: 15th September 2025. It is important that you DO NOT include your Personal Information i.e. name and contact details in your CV or Cover Letter . This is because the Microbiology Society is an equal opportunities employer and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. We value, promote, and seek diversity. The Society also takes the security of your data seriously. It has internal policies and controls in place to ensure that your data is not lost, accidentally destroyed, misused, or disclosed, and is not accessed except by our employees in the proper performance of their duties. Please note that due to limited resources it is not possible for the Society to acknowledge receipt of applications. If you do not hear from us within two weeks of the closing date, please assume that your application has been unsuccessful on this occasion.
Job Title: Data Scientist We're looking for a sharp, strategic Data Scientist to lead the development of scientific standards for evaluating competitor data-especially market share insights. You'll design methods to improve reliability, support senior leaders with actionable intelligence, and mentor colleagues across projects and domains. What you'll do: Build models to assess and replace costly market share data sources Advise teams and elevate data capabilities across the business Drive competitor insight strategies for high-impact decision-making Key skills: Python, SQL, Data Modeling, Machine Learning, Market Research, Big Data, Operations Research Hybrid: London 2 days Day Rate: Outside Please send me your CV to (url removed)
Sep 04, 2025
Contractor
Job Title: Data Scientist We're looking for a sharp, strategic Data Scientist to lead the development of scientific standards for evaluating competitor data-especially market share insights. You'll design methods to improve reliability, support senior leaders with actionable intelligence, and mentor colleagues across projects and domains. What you'll do: Build models to assess and replace costly market share data sources Advise teams and elevate data capabilities across the business Drive competitor insight strategies for high-impact decision-making Key skills: Python, SQL, Data Modeling, Machine Learning, Market Research, Big Data, Operations Research Hybrid: London 2 days Day Rate: Outside Please send me your CV to (url removed)
Contract Data Scientist - London - 700/pd Please note - this role will require you to be on-site in London 2-3 days per week. You must have the unrestricted right to work in the UK to be eligible for this role. Overview: We're hiring a Data Scientist for a leading organisation in London, offering a 6-month contract at 700/day (Inside IR35) . This hybrid role requires 2 days per week on-site and focuses on delivering advanced AI and data science solutions using cutting-edge technologies. Key Responsibilities: Design and implement machine learning models to solve complex business problems. Develop and deploy AI models using Python and Azure. Perform data analysis and build scalable solutions using SQL and other data science tools. Collaborate with cross-functional teams to integrate AI into enterprise systems. Required Skills: Strong experience in Machine Learning , AI Modelling , and Data Science . Proficiency in Python , SQL , and Azure . Hands-on experience with modern AI and data science technologies. Ability to work in a fast-paced, collaborative environment. What's on Offer: 700/day (Inside IR35) 6-month contract with potential for extension Hybrid working (2 days on-site in London) Opportunity to work on high-impact AI initiatives To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Sep 04, 2025
Contractor
Contract Data Scientist - London - 700/pd Please note - this role will require you to be on-site in London 2-3 days per week. You must have the unrestricted right to work in the UK to be eligible for this role. Overview: We're hiring a Data Scientist for a leading organisation in London, offering a 6-month contract at 700/day (Inside IR35) . This hybrid role requires 2 days per week on-site and focuses on delivering advanced AI and data science solutions using cutting-edge technologies. Key Responsibilities: Design and implement machine learning models to solve complex business problems. Develop and deploy AI models using Python and Azure. Perform data analysis and build scalable solutions using SQL and other data science tools. Collaborate with cross-functional teams to integrate AI into enterprise systems. Required Skills: Strong experience in Machine Learning , AI Modelling , and Data Science . Proficiency in Python , SQL , and Azure . Hands-on experience with modern AI and data science technologies. Ability to work in a fast-paced, collaborative environment. What's on Offer: 700/day (Inside IR35) 6-month contract with potential for extension Hybrid working (2 days on-site in London) Opportunity to work on high-impact AI initiatives To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Requisition ID: 60095 Position Type: FT Permanent Workplace Arrangement: About the role We have a fantastic opportunity for a Process Technology Lead to join the team at our unique site in Menstrie, a large fermentation facility with hundreds of unit operations and SKU's. You will be a thought-leader in the field of fermentation technology, with core expertise in fermentation engineering and yeast physiology. Working across cross-functional teams spanning Manufacturing, Process Sciences, Supply Chain, Finance and R&D, a key deliverable of this role is to define and track key-performance indicators (KPIs) and oversee continuous improvement programs to ensure industry-leading fermentation performance. You will lead and participate in new product & process technology projects, coordinate product introductions & commercialization and lead or participate in innovative interdepartmental and global teams. Lead and/or participate in RCAs as needed. About Kerry Kerry is the world's leading taste and nutrition company for the food, beverage, and pharmaceutical industries. Every day we partner with customers to create healthier, tastier, and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you with opportunities to explore and grow in a truly global environment. Our Safety purpose: At Kerry, we work together in a caring culture where everybody goes home safely every day. We are committed to providing a safe working environment and ensuring that all safety protocols are strictly followed. Join us in creating a workplace where safety is everyone's responsibility. What you'll be doing Develop end to end expertise of all process technology deployed at our Menstrie manufacturing location Be a thought leader for fermentation technology that helps define and shape continuous improvement strategies and plans through deep expertise in fermentation engineering and microbial physiology. Define KPIs for each fermentation process on site. Launch and oversee projects to drive continuous improvement of KPIs. Lead a team of Process Technologist to maintain and communicate control charts of fermentation KPIs that can be used to identify opportunities for improvement Lead and support optimisation initiatives to increase yield, reduce cycle time, reduce costs and enhance safety and product quality Collect and analyse process data statistically and build models to support process decisions and continuous improvement. Provide subject matter expertise in aseptic design and SIP and CIP systems to reduce contamination and improve bioburden control Support downstream operations (centrifugation, filtration, spray drying, evaporation) to ensure reliable and high-performing operations. Support and execute successful tech transfer to manufacturing partners including SOP's, equipment qualification and training. Work cross-functionally with RD&A, QA/QC, engineering, production and strain teams; translate customer and internal requirements into actionable plans. Mentor and coach junior scientists and technologists through both formal and informal leadership. Maintain rigorous documentation of methods, results and SOP's; contribute to IP capture and patent support. Consistently demonstrate a strong commitment to both lab and process safety. Adhere to and promote biosafety, hygienic design and quality management standards (e.g. BSL-2, GMP, FSMA, HACCP, ISO food-grade). What you can bring to the role Ideally PhD qualified in Biochemical Engineering, Biological Engineering, Fermentation Engineering, or a related technical degree. Proven industry experience. Strong background in fermentation, biochemical engineering and aseptic design. Expertise in yeast fermentation is highly desired. Excellent problem solving skills. The ability to work with cross-functional teams at multi levels within the organization. A strong background in data analysis and statistics is strongly preferred. Excellent interpersonal, communication skills In Kerry we know that sometimes the perfect candidate doesn't exist, and people can be put off applying for a role if they don't fit all the requirements. If you are excited about working for us and have the majority of the skills or experience, then please do apply as you could be exactly what we are looking for. What we can offer In return we can offer a competitive salary and comprehensive benefits package as well as the opportunity for self-growth and career development within one of the world's leading manufacturers of food and nutrition technology. In Kerry we benefit from the knowledge of our colleagues who bring a diverse range of cultures, backgrounds, lifestyles, and experiences. One team fostering an inclusive culture that, above all, inspires food and nourishes life. One culture where everyone brings their unique perspectives and experiences to help make us better, together. We are committed to nurturing an environment of positivity and inclusiveness, where everyone can be at their best, both personally and professionally. Our recruitment, selection and assessment process are based on the skills and competencies of the specific roles and based entirely on merit. We are committed to and value Diversity and Inclusion in all recruitment processes within Kerry and do not discriminate based on gender, race, class, economic status, ethnic background, sexual orientation, age, political beliefs, veteran status, marital status, or any other protected characteristic. Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter: Posting Type: LI Please note: We do not accept CVs or candidate profiles from recruitment agencies where Kerry terms of business have not been signed. Additionally, we will not consider or agree to payment of any recruiter fee under these circumstances. This also applies to CVs or candidate profiles sent directly to any Kerry Hiring Managers .
Sep 03, 2025
Full time
Requisition ID: 60095 Position Type: FT Permanent Workplace Arrangement: About the role We have a fantastic opportunity for a Process Technology Lead to join the team at our unique site in Menstrie, a large fermentation facility with hundreds of unit operations and SKU's. You will be a thought-leader in the field of fermentation technology, with core expertise in fermentation engineering and yeast physiology. Working across cross-functional teams spanning Manufacturing, Process Sciences, Supply Chain, Finance and R&D, a key deliverable of this role is to define and track key-performance indicators (KPIs) and oversee continuous improvement programs to ensure industry-leading fermentation performance. You will lead and participate in new product & process technology projects, coordinate product introductions & commercialization and lead or participate in innovative interdepartmental and global teams. Lead and/or participate in RCAs as needed. About Kerry Kerry is the world's leading taste and nutrition company for the food, beverage, and pharmaceutical industries. Every day we partner with customers to create healthier, tastier, and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you with opportunities to explore and grow in a truly global environment. Our Safety purpose: At Kerry, we work together in a caring culture where everybody goes home safely every day. We are committed to providing a safe working environment and ensuring that all safety protocols are strictly followed. Join us in creating a workplace where safety is everyone's responsibility. What you'll be doing Develop end to end expertise of all process technology deployed at our Menstrie manufacturing location Be a thought leader for fermentation technology that helps define and shape continuous improvement strategies and plans through deep expertise in fermentation engineering and microbial physiology. Define KPIs for each fermentation process on site. Launch and oversee projects to drive continuous improvement of KPIs. Lead a team of Process Technologist to maintain and communicate control charts of fermentation KPIs that can be used to identify opportunities for improvement Lead and support optimisation initiatives to increase yield, reduce cycle time, reduce costs and enhance safety and product quality Collect and analyse process data statistically and build models to support process decisions and continuous improvement. Provide subject matter expertise in aseptic design and SIP and CIP systems to reduce contamination and improve bioburden control Support downstream operations (centrifugation, filtration, spray drying, evaporation) to ensure reliable and high-performing operations. Support and execute successful tech transfer to manufacturing partners including SOP's, equipment qualification and training. Work cross-functionally with RD&A, QA/QC, engineering, production and strain teams; translate customer and internal requirements into actionable plans. Mentor and coach junior scientists and technologists through both formal and informal leadership. Maintain rigorous documentation of methods, results and SOP's; contribute to IP capture and patent support. Consistently demonstrate a strong commitment to both lab and process safety. Adhere to and promote biosafety, hygienic design and quality management standards (e.g. BSL-2, GMP, FSMA, HACCP, ISO food-grade). What you can bring to the role Ideally PhD qualified in Biochemical Engineering, Biological Engineering, Fermentation Engineering, or a related technical degree. Proven industry experience. Strong background in fermentation, biochemical engineering and aseptic design. Expertise in yeast fermentation is highly desired. Excellent problem solving skills. The ability to work with cross-functional teams at multi levels within the organization. A strong background in data analysis and statistics is strongly preferred. Excellent interpersonal, communication skills In Kerry we know that sometimes the perfect candidate doesn't exist, and people can be put off applying for a role if they don't fit all the requirements. If you are excited about working for us and have the majority of the skills or experience, then please do apply as you could be exactly what we are looking for. What we can offer In return we can offer a competitive salary and comprehensive benefits package as well as the opportunity for self-growth and career development within one of the world's leading manufacturers of food and nutrition technology. In Kerry we benefit from the knowledge of our colleagues who bring a diverse range of cultures, backgrounds, lifestyles, and experiences. One team fostering an inclusive culture that, above all, inspires food and nourishes life. One culture where everyone brings their unique perspectives and experiences to help make us better, together. We are committed to nurturing an environment of positivity and inclusiveness, where everyone can be at their best, both personally and professionally. Our recruitment, selection and assessment process are based on the skills and competencies of the specific roles and based entirely on merit. We are committed to and value Diversity and Inclusion in all recruitment processes within Kerry and do not discriminate based on gender, race, class, economic status, ethnic background, sexual orientation, age, political beliefs, veteran status, marital status, or any other protected characteristic. Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter: Posting Type: LI Please note: We do not accept CVs or candidate profiles from recruitment agencies where Kerry terms of business have not been signed. Additionally, we will not consider or agree to payment of any recruiter fee under these circumstances. This also applies to CVs or candidate profiles sent directly to any Kerry Hiring Managers .
Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key Responsibilities: Build an MLOps / DevOps environment to support machine learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps / MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling from the ground-up, not only through the use of packages and libraries Proficient at communicating results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master s level in a STEM or DS / ML / AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both
Sep 03, 2025
Full time
Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key Responsibilities: Build an MLOps / DevOps environment to support machine learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps / MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling from the ground-up, not only through the use of packages and libraries Proficient at communicating results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master s level in a STEM or DS / ML / AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both
Software Engineer Geoscience Applications Permanent Full-Time Competitive Salary An exciting opportunity has arisen for an experienced Software Engineer to join a leading provider of specialist solutions to the geosciences sector. This innovative and technology-driven organisation designs and develops advanced systems used worldwide for scientific measurement, data acquisition, and analysis. Their products support industries including energy, environmental research, and infrastructure development, helping to deliver critical insights from complex datasets. As part of a collaborative technical development team, you will play a key role in designing, building, and maintaining advanced desktop applications for geoscience applications. This role will suit someone with strong problem-solving ability, excellent numerical and statistical skills, and a passion for applying software engineering expertise to real-world scientific challenges. Key Responsibilities: Design, develop, and maintain technical desktop applications for geoscience-related projects. Work with low-level data from custom hardware, applying scientific calibration and processing techniques. Implement software solutions using C#, .NET, WinUI 3, DirectX, and gRPC. Collaborate closely with hardware engineers, scientists, and fellow software developers to create accurate and efficient tools. Apply numerical, statistical, and vector mathematics skills to solve complex computational problems. Contribute to software testing using xUnit and manage codebases via GIT. Key Skills & Experience: Proven commercial experience as a Software Engineer. Strong C#, .NET, WinUI 3, DirectX, xUnit, GIT, and gRPC skills. Excellent numerical and statistical analysis skills. Proficiency in vector mathematics and scientific calibration techniques. Experience working with low-level programming and data from custom hardware. An interest in physics, mathematics, and scientific problem solving. What s on Offer: Permanent, full-time position in a dynamic and collaborative environment. The opportunity to work on innovative technology that supports global industries and research. Competitive salary and benefits package. If you re a skilled software engineer with a passion for science and technology, and want to make a real impact in a highly specialised field, we d love to hear from you.
Sep 02, 2025
Full time
Software Engineer Geoscience Applications Permanent Full-Time Competitive Salary An exciting opportunity has arisen for an experienced Software Engineer to join a leading provider of specialist solutions to the geosciences sector. This innovative and technology-driven organisation designs and develops advanced systems used worldwide for scientific measurement, data acquisition, and analysis. Their products support industries including energy, environmental research, and infrastructure development, helping to deliver critical insights from complex datasets. As part of a collaborative technical development team, you will play a key role in designing, building, and maintaining advanced desktop applications for geoscience applications. This role will suit someone with strong problem-solving ability, excellent numerical and statistical skills, and a passion for applying software engineering expertise to real-world scientific challenges. Key Responsibilities: Design, develop, and maintain technical desktop applications for geoscience-related projects. Work with low-level data from custom hardware, applying scientific calibration and processing techniques. Implement software solutions using C#, .NET, WinUI 3, DirectX, and gRPC. Collaborate closely with hardware engineers, scientists, and fellow software developers to create accurate and efficient tools. Apply numerical, statistical, and vector mathematics skills to solve complex computational problems. Contribute to software testing using xUnit and manage codebases via GIT. Key Skills & Experience: Proven commercial experience as a Software Engineer. Strong C#, .NET, WinUI 3, DirectX, xUnit, GIT, and gRPC skills. Excellent numerical and statistical analysis skills. Proficiency in vector mathematics and scientific calibration techniques. Experience working with low-level programming and data from custom hardware. An interest in physics, mathematics, and scientific problem solving. What s on Offer: Permanent, full-time position in a dynamic and collaborative environment. The opportunity to work on innovative technology that supports global industries and research. Competitive salary and benefits package. If you re a skilled software engineer with a passion for science and technology, and want to make a real impact in a highly specialised field, we d love to hear from you.
About Us The Microbiology Society is a membership charity for scientists interested in microbes, their effects and their practical uses. It is one of the largest microbiology societies in Europe with a worldwide membership based in universities, industry, hospitals, research institutes and schools. Our members have a unique depth and breadth of knowledge about the discipline. The Society's role is to help unlock and harness the potential of that knowledge. Our commitment to anyone who studies microbes is "whoever you are, wherever you are, we will amplify your voice". Read more about our Mission and Values on our website. "We are interested in every candidate who is eligible to work in the United Kingdom. However, we are not able to sponsor visas." About You We are seeking a Publishing Operations Intern on 12 month Fixed Term Contract to join our friendly and welcoming team, who are based in Central London. This year-long internship provides an ideal opportunity for an individual to gain experience in the academic publishing sector, working for not-for-profit charity. Reporting to the Publishing Operation Lead, the Publishing Operations Intern acts as the essential point of contact for microbiologists in academia, industry, and clinical environments in their roles as authors, reviewers, and members of our Editorial Boards and provide cross-portfolio support on priority tasks and on other tasks as determined by the Publishing Operations Lead. This role is ideal for graduates, especially those with degrees in science disciplines to gain valuable experience of all the operational skills required to manage a scientific journal. Applicants should have excellent interpersonal and time management skills as well as strong computer literacy. Early applications will be prioritised. Please note that the organisation operates a hybrid working policy. For more information about the Society, please visit our website. Our generous benefits package includes; Flexible working hours Highly competitive salaries with an annual cost of living increase 23 days holiday + eight bank holidays and three additional days over the Christmas break 10% employer pension contribution Life insurance including free (health and wellbeing) employee support services Enhanced maternity pay to include 26 weeks of fully paid maternity leave and 13 weeks of statutory maternity pay Enhanced Adoption pay to include 26 weeks of fully paid adoption leave and 13 weeks of statutory adoption pay Season Ticket Loan Scheme Cycle to Work Scheme £50 contribution towards eye care To Apply Please attach your CV and Cover Letter. Please note that only shortlisted candidates will be contacted. Closing date: 12th September 2025. It is important that you DO NOT include your Personal Information i.e. name and contact details in your CV or Cover Letter . This is because the Microbiology Society is an equal opportunities employer and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. We value, promote, and seek diversity. The Society also takes the security of your data seriously. It has internal policies and controls in place to ensure that your data is not lost, accidentally destroyed, misused, or disclosed, and is not accessed except by our employees in the proper performance of their duties. Please note that due to limited resources it is not possible for the Society to acknowledge receipt of applications. If you do not hear from us within two weeks of the closing date, please assume that your application has been unsuccessful on this occasion.
Sep 02, 2025
Seasonal
About Us The Microbiology Society is a membership charity for scientists interested in microbes, their effects and their practical uses. It is one of the largest microbiology societies in Europe with a worldwide membership based in universities, industry, hospitals, research institutes and schools. Our members have a unique depth and breadth of knowledge about the discipline. The Society's role is to help unlock and harness the potential of that knowledge. Our commitment to anyone who studies microbes is "whoever you are, wherever you are, we will amplify your voice". Read more about our Mission and Values on our website. "We are interested in every candidate who is eligible to work in the United Kingdom. However, we are not able to sponsor visas." About You We are seeking a Publishing Operations Intern on 12 month Fixed Term Contract to join our friendly and welcoming team, who are based in Central London. This year-long internship provides an ideal opportunity for an individual to gain experience in the academic publishing sector, working for not-for-profit charity. Reporting to the Publishing Operation Lead, the Publishing Operations Intern acts as the essential point of contact for microbiologists in academia, industry, and clinical environments in their roles as authors, reviewers, and members of our Editorial Boards and provide cross-portfolio support on priority tasks and on other tasks as determined by the Publishing Operations Lead. This role is ideal for graduates, especially those with degrees in science disciplines to gain valuable experience of all the operational skills required to manage a scientific journal. Applicants should have excellent interpersonal and time management skills as well as strong computer literacy. Early applications will be prioritised. Please note that the organisation operates a hybrid working policy. For more information about the Society, please visit our website. Our generous benefits package includes; Flexible working hours Highly competitive salaries with an annual cost of living increase 23 days holiday + eight bank holidays and three additional days over the Christmas break 10% employer pension contribution Life insurance including free (health and wellbeing) employee support services Enhanced maternity pay to include 26 weeks of fully paid maternity leave and 13 weeks of statutory maternity pay Enhanced Adoption pay to include 26 weeks of fully paid adoption leave and 13 weeks of statutory adoption pay Season Ticket Loan Scheme Cycle to Work Scheme £50 contribution towards eye care To Apply Please attach your CV and Cover Letter. Please note that only shortlisted candidates will be contacted. Closing date: 12th September 2025. It is important that you DO NOT include your Personal Information i.e. name and contact details in your CV or Cover Letter . This is because the Microbiology Society is an equal opportunities employer and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. We value, promote, and seek diversity. The Society also takes the security of your data seriously. It has internal policies and controls in place to ensure that your data is not lost, accidentally destroyed, misused, or disclosed, and is not accessed except by our employees in the proper performance of their duties. Please note that due to limited resources it is not possible for the Society to acknowledge receipt of applications. If you do not hear from us within two weeks of the closing date, please assume that your application has been unsuccessful on this occasion.
Lead Data Scientist Based in Nottingham 4 days a week onsite Pay 50k- 60k depending on experience Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle. The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud prevention, marketing, credit risk, and customer management. This is an exciting opportunity for a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within a forward-thinking environment. Role and Responsibilities: Develop and deploy predictive models to improve customer outcomes across multiple business areas. Lead model implementation and policy setting to support autonomous decision-making. Design and execute test-and-learn strategies to inform business decisions. Deliver actionable insights through structured analysis and clear communication. Identify opportunities for process improvement and innovation using data. Key Skills and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Strong technical expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools. Experience applying Gen AI tools or techniques is highly desirable. Solid understanding of stakeholder engagement and business communication. Educated to degree level (2:1 or above) in a numerical discipline. Ability to work independently and collaboratively within a small team (5 people). Don't miss this opportunity to take a leading role in shaping data science strategy within a dynamic financial services organisation. Apply now with your most up-to-date CV! Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Sep 02, 2025
Full time
Lead Data Scientist Based in Nottingham 4 days a week onsite Pay 50k- 60k depending on experience Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle. The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud prevention, marketing, credit risk, and customer management. This is an exciting opportunity for a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within a forward-thinking environment. Role and Responsibilities: Develop and deploy predictive models to improve customer outcomes across multiple business areas. Lead model implementation and policy setting to support autonomous decision-making. Design and execute test-and-learn strategies to inform business decisions. Deliver actionable insights through structured analysis and clear communication. Identify opportunities for process improvement and innovation using data. Key Skills and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Strong technical expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools. Experience applying Gen AI tools or techniques is highly desirable. Solid understanding of stakeholder engagement and business communication. Educated to degree level (2:1 or above) in a numerical discipline. Ability to work independently and collaboratively within a small team (5 people). Don't miss this opportunity to take a leading role in shaping data science strategy within a dynamic financial services organisation. Apply now with your most up-to-date CV! Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Mandatory Skills Required: Data Architecture Data Migration Data Modeling Snowflake Designer/Developer DBT (Data Build Tool) ETL Design AWS Services - including S3, ETL/EMR, Security, Lambda, etc. StreamSet Python Programming Leadership and Team Handling Strong Communication and Collaboration Skills Role: Snowflake Architect Location: Basildon, UK/Dublin, Ireland Work from Client office 5 days weekly Responsibilities: -Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS. -Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets. -Collaborate with data analysts, scientists, and other stakeholders to define and fulfil data requirements. -Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability. -Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake. -Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity. -Stay up-to-date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS Qualifications: >Bachelor's degree in computer science, Engineering, or a related field. >5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. >Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modelling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on experience in Orchestration solutions such as Airflow >Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability Evaluation will be done according to below: Area of Assessment Priority Data Architect Must Have Data Migration Must Have Data Modeling Must Have DBT Knowledge Should Have ETL Design Must Have Snowflake Designer/Developer Must Have AWS (S3, ETL/EMR, Security, Lambda etc ) Must Have Leadership/Team handling Must Have Communication and Collaboration Must Have StreamSet Should Have Python Should Have
Sep 02, 2025
Contractor
Mandatory Skills Required: Data Architecture Data Migration Data Modeling Snowflake Designer/Developer DBT (Data Build Tool) ETL Design AWS Services - including S3, ETL/EMR, Security, Lambda, etc. StreamSet Python Programming Leadership and Team Handling Strong Communication and Collaboration Skills Role: Snowflake Architect Location: Basildon, UK/Dublin, Ireland Work from Client office 5 days weekly Responsibilities: -Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS. -Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets. -Collaborate with data analysts, scientists, and other stakeholders to define and fulfil data requirements. -Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability. -Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake. -Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity. -Stay up-to-date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS Qualifications: >Bachelor's degree in computer science, Engineering, or a related field. >5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. >Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modelling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on experience in Orchestration solutions such as Airflow >Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability Evaluation will be done according to below: Area of Assessment Priority Data Architect Must Have Data Migration Must Have Data Modeling Must Have DBT Knowledge Should Have ETL Design Must Have Snowflake Designer/Developer Must Have AWS (S3, ETL/EMR, Security, Lambda etc ) Must Have Leadership/Team handling Must Have Communication and Collaboration Must Have StreamSet Should Have Python Should Have
Staff Data Scientist Salary: 90K - 100K Location: London - Hybrid Overview: Data Idols are working with a leading disruptor in the tech industry that is fundamentally reshaping how goods and services move in the online era. Backed by record-breaking investment and scaling faster than almost any other startup, they're building one of the most talented data and engineering teams in Europe. The Opportunity: You will join a high-impact team focused on improving delivery quality and trust. From lost parcels to fraudulent behaviours, you'll develop cutting-edge models and infrastructure to detect, prevent, and resolve issues before they scale, ensuring trust, efficiency, and world-class customer experience. Using Python, SQL, cloud-native infrastructure, and large-scale data processing tools, you'll develop production-grade ML models that power live decision-making. What You'll Be Doing: Designing and deploying production-grade ML models that drive live decision-making. Applying computer vision Building fraud and anomaly detection models using geospatial and behavioural signals. Partnering with engineers to scale pipelines, compliance monitors, and detection systems. Leading scientific direction and mentoring other data scientists to maximise impact. If you are a Staff Data Scientist looking for a high-impact role where your expertise directly shapes a fast-scaling network, please submit your CV for initial screening and more details. Staff Data Scientist
Sep 02, 2025
Full time
Staff Data Scientist Salary: 90K - 100K Location: London - Hybrid Overview: Data Idols are working with a leading disruptor in the tech industry that is fundamentally reshaping how goods and services move in the online era. Backed by record-breaking investment and scaling faster than almost any other startup, they're building one of the most talented data and engineering teams in Europe. The Opportunity: You will join a high-impact team focused on improving delivery quality and trust. From lost parcels to fraudulent behaviours, you'll develop cutting-edge models and infrastructure to detect, prevent, and resolve issues before they scale, ensuring trust, efficiency, and world-class customer experience. Using Python, SQL, cloud-native infrastructure, and large-scale data processing tools, you'll develop production-grade ML models that power live decision-making. What You'll Be Doing: Designing and deploying production-grade ML models that drive live decision-making. Applying computer vision Building fraud and anomaly detection models using geospatial and behavioural signals. Partnering with engineers to scale pipelines, compliance monitors, and detection systems. Leading scientific direction and mentoring other data scientists to maximise impact. If you are a Staff Data Scientist looking for a high-impact role where your expertise directly shapes a fast-scaling network, please submit your CV for initial screening and more details. Staff Data Scientist
Senior Data Scientist Hybrid: Once per week into London We are seeking a Senior Data Scientist to provide oversight and hands-on expertise for the build of an AI Agent within an automated insurance workflow . The project involves prompt engineering of LLMs, API development and integration , and deploying solutions in line with a defined solution design. The successful contractor will also provide day-to-day oversight and mentorship to a junior Data Scientist on the project. Role & Responsibilities The Senior Data Scientist will be responsible for: Designing, building, and deploying AI Agent solutions within an insurance workflow. Developing and refining prompt engineering approaches for large language models (LLMs). Building, testing, and integrating API calls to meet solution design specifications. Deploying containerised applications in Azure (or other cloud environments) . Providing technical leadership, support, and oversight to a junior Data Scientist . Collaborating with solution architects, developers, and stakeholders to ensure seamless integration. Preparing performance evaluation reports and recommendations for next-phase development. Skills & Experience Essential: Strong expertise in Python for AI/ML development. Hands-on experience with Large Language Models (LLMs) and prompt engineering. Experience deploying solutions in Azure (or equivalent cloud platforms). Demonstrated ability to deliver AI/ML solutions from design through to deployment. Proven ability to provide technical oversight and mentorship . Desirable: Experience within Financial Services / Insurance environments. Familiarity with API-first solution architectures . Prior exposure to containerisation (Azure Container Apps, Kubernetes, Docker).
Sep 02, 2025
Contractor
Senior Data Scientist Hybrid: Once per week into London We are seeking a Senior Data Scientist to provide oversight and hands-on expertise for the build of an AI Agent within an automated insurance workflow . The project involves prompt engineering of LLMs, API development and integration , and deploying solutions in line with a defined solution design. The successful contractor will also provide day-to-day oversight and mentorship to a junior Data Scientist on the project. Role & Responsibilities The Senior Data Scientist will be responsible for: Designing, building, and deploying AI Agent solutions within an insurance workflow. Developing and refining prompt engineering approaches for large language models (LLMs). Building, testing, and integrating API calls to meet solution design specifications. Deploying containerised applications in Azure (or other cloud environments) . Providing technical leadership, support, and oversight to a junior Data Scientist . Collaborating with solution architects, developers, and stakeholders to ensure seamless integration. Preparing performance evaluation reports and recommendations for next-phase development. Skills & Experience Essential: Strong expertise in Python for AI/ML development. Hands-on experience with Large Language Models (LLMs) and prompt engineering. Experience deploying solutions in Azure (or equivalent cloud platforms). Demonstrated ability to deliver AI/ML solutions from design through to deployment. Proven ability to provide technical oversight and mentorship . Desirable: Experience within Financial Services / Insurance environments. Familiarity with API-first solution architectures . Prior exposure to containerisation (Azure Container Apps, Kubernetes, Docker).
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Sep 02, 2025
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Data Scientist (Fintech, Nottingham) Location: Nottingham (4 days per week in office) Salary: £55,000 - £65,000 (DOE) Client: High-growth Fintech The Role You ll be joining a lean, high-performing data science team of three, in a Fintech that s making serious moves in financial services. This role is about end-to-end ownership . From spotting opportunities to deploying models that stick, you ll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference. It s leadership, but not in the endless-meeting, big-team sense. It s about leading your own projects, driving outcomes, and being accountable for real commercial impact. Why This Role Matters Your work will shape how the business operates. To give you an example, one of your future teammates has already transformed the collections function by building models that determine who to call, when to call, and when to send comms - driving a step change in efficiency and results. Now it s your turn. You ll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company. What We re Looking For Proven impact - you ve taken models into production and seen them deliver real results. Autonomous leadership - confident owning projects, engaging stakeholders, and holding yourself accountable. Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax. Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss. Energy & curiosity - proactive, problem-seeking, and solutions-focused. The Tech (Flexible) Current stack: R, Databricks, SQL Open to Python and other modern tools - what matters is results. What You ll Get £55k £65k salary (with some flex for the right person) High visibility and autonomy - your work won t be buried in layers of hierarchy A direct line to senior leadership and real influence over business decisions The chance to work with sharp, passionate people solving real-world problems with data This role is four days a week in the Nottingham office . No hiding behind Zoom - you ll be embedded in the business, collaborating face-to-face, and influencing directly. If that s a fit for you, this could be a career-defining move! If you re a Data Scientist who wants to own projects, deliver real outcomes, and be recognised for your impact, we d love to hear from you.
Sep 02, 2025
Full time
Data Scientist (Fintech, Nottingham) Location: Nottingham (4 days per week in office) Salary: £55,000 - £65,000 (DOE) Client: High-growth Fintech The Role You ll be joining a lean, high-performing data science team of three, in a Fintech that s making serious moves in financial services. This role is about end-to-end ownership . From spotting opportunities to deploying models that stick, you ll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference. It s leadership, but not in the endless-meeting, big-team sense. It s about leading your own projects, driving outcomes, and being accountable for real commercial impact. Why This Role Matters Your work will shape how the business operates. To give you an example, one of your future teammates has already transformed the collections function by building models that determine who to call, when to call, and when to send comms - driving a step change in efficiency and results. Now it s your turn. You ll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company. What We re Looking For Proven impact - you ve taken models into production and seen them deliver real results. Autonomous leadership - confident owning projects, engaging stakeholders, and holding yourself accountable. Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax. Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss. Energy & curiosity - proactive, problem-seeking, and solutions-focused. The Tech (Flexible) Current stack: R, Databricks, SQL Open to Python and other modern tools - what matters is results. What You ll Get £55k £65k salary (with some flex for the right person) High visibility and autonomy - your work won t be buried in layers of hierarchy A direct line to senior leadership and real influence over business decisions The chance to work with sharp, passionate people solving real-world problems with data This role is four days a week in the Nottingham office . No hiding behind Zoom - you ll be embedded in the business, collaborating face-to-face, and influencing directly. If that s a fit for you, this could be a career-defining move! If you re a Data Scientist who wants to own projects, deliver real outcomes, and be recognised for your impact, we d love to hear from you.
Senior Data Scientist - Computer Vision Salary: 70,000 - 100,000 Data Idols are working with a high-growth InsurTech to hire a Senior Data Scientist who will lead the design and delivery of computer vision data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance. About the Role We are seeking a Senior Data Scientist with strong expertise in computer vision to design and deploy models that solve complex, real-world image challenges. This is a hands-on role where you'll experiment, build, and scale machine learning solutions, working closely with product and engineering teams in a fast-moving, high-growth environment. Key Responsibilities Develop and deploy computer vision models, with a focus on image classification and quality scoring Apply machine learning techniques such as supervised learning and anomaly detection to visual data problems Work with large-scale, complex image datasets to create production-ready solutions Collaborate cross-functionally to ensure models are effectively integrated and deliver measurable impact Key Skills & Experience Proven experience with computer vision, particularly image classification and quality assessment Strong grounding in machine learning and statistics Proficiency in Python and SQL Track record of building and deploying production-ready models Ability to thrive in fast-paced, scaling environments What We Offer Equity package, with performance-based bonuses Private healthcare Pension contribution This role is an excellent opportunity for a computer vision specialist looking to make a significant technical impact while advancing their career in a scaling environment. Senior Data Scientist - Computer Vision
Sep 02, 2025
Full time
Senior Data Scientist - Computer Vision Salary: 70,000 - 100,000 Data Idols are working with a high-growth InsurTech to hire a Senior Data Scientist who will lead the design and delivery of computer vision data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance. About the Role We are seeking a Senior Data Scientist with strong expertise in computer vision to design and deploy models that solve complex, real-world image challenges. This is a hands-on role where you'll experiment, build, and scale machine learning solutions, working closely with product and engineering teams in a fast-moving, high-growth environment. Key Responsibilities Develop and deploy computer vision models, with a focus on image classification and quality scoring Apply machine learning techniques such as supervised learning and anomaly detection to visual data problems Work with large-scale, complex image datasets to create production-ready solutions Collaborate cross-functionally to ensure models are effectively integrated and deliver measurable impact Key Skills & Experience Proven experience with computer vision, particularly image classification and quality assessment Strong grounding in machine learning and statistics Proficiency in Python and SQL Track record of building and deploying production-ready models Ability to thrive in fast-paced, scaling environments What We Offer Equity package, with performance-based bonuses Private healthcare Pension contribution This role is an excellent opportunity for a computer vision specialist looking to make a significant technical impact while advancing their career in a scaling environment. Senior Data Scientist - Computer Vision
Remote Role Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Scientist - Sustainability The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as the lead technical specialist in our R-focused Research Software Engineering group. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master's degree or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience) Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background in version control systems and CI/CD implementation History of successful collaboration with IT teams on data science workflows Proficiency with Windows and/or Linux environments Experience with GIS systems and spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling) Experience in agricultural or land management sectors If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.
Sep 02, 2025
Full time
Remote Role Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Scientist - Sustainability The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as the lead technical specialist in our R-focused Research Software Engineering group. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master's degree or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience) Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background in version control systems and CI/CD implementation History of successful collaboration with IT teams on data science workflows Proficiency with Windows and/or Linux environments Experience with GIS systems and spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling) Experience in agricultural or land management sectors If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.
Staff Data Scientist Salary: 110,000 - 130,000 Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance. The Role You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value. This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices. What You'll Do Build and deploy advanced geospatial and telematics models from the ground up Design data products that optimise movement patterns and reduce inefficiencies Lead technical direction as the most senior IC Work with product and engineering partners to deliver production-ready solutions Ensure models deliver measurable impact across efficiency and experience What We're Looking For Proven expertise in geospatial, telematics, or spatial data science Strong experience building and deploying end-to-end data products in production Excellent skills in modelling movement, sensor, and GPS datasets Track record of operating at a senior IC level, setting technical standards Experience in high-growth or data-first environments is desirable Package & Benefits Up to 130K Equity and performance-based equity bonuses Private healthcare Pension contribution If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you. Staff Data Scientist
Sep 01, 2025
Full time
Staff Data Scientist Salary: 110,000 - 130,000 Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance. The Role You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value. This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices. What You'll Do Build and deploy advanced geospatial and telematics models from the ground up Design data products that optimise movement patterns and reduce inefficiencies Lead technical direction as the most senior IC Work with product and engineering partners to deliver production-ready solutions Ensure models deliver measurable impact across efficiency and experience What We're Looking For Proven expertise in geospatial, telematics, or spatial data science Strong experience building and deploying end-to-end data products in production Excellent skills in modelling movement, sensor, and GPS datasets Track record of operating at a senior IC level, setting technical standards Experience in high-growth or data-first environments is desirable Package & Benefits Up to 130K Equity and performance-based equity bonuses Private healthcare Pension contribution If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you. Staff Data Scientist
An Arts organisation in London are seeking a Data and Analytics Lead to join their technology function and revitalise their approach to data. Reporting to the Head of IT, this role would lead the development of our organisational data strategy. Partnering closely with a number of teams and their data leads, you will foster a data culture grounded in insights and actions. You will leverage data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in democratising access to data, embedding and expanding modelling capabilities across the organisation including AI planning, forecasting and analysis where appropriate You will help solve organisational challenges by weaving together data threads that highlight invaluable insights to drive innovation You will proactively identify opportunities to embed data powered initiatives that deliver tangible value, improving productivity and improving data insights by building strong internal relationships, fostering a collaborative spirit Key Skills that would help you in this role: Have experience as a data scientist or data lead and be highly analytical with a strong grasp of modern statistical methods, tools and platforms Identify the data inputs and outputs are from each software solution to inform the next generation / direction of software upgrades across the organisation, including where appropriate AI integrated solutions Have end to end problem solving and communication skills, including diagnosis, data cleaning, integration and transformation, analysis, visualisation and presentation. Have experience in the translation of analysis results into data driven insights Highly motivated, independent thinker, able to exercise sound judgement in the interests of the organisation and to get things done
Sep 01, 2025
Full time
An Arts organisation in London are seeking a Data and Analytics Lead to join their technology function and revitalise their approach to data. Reporting to the Head of IT, this role would lead the development of our organisational data strategy. Partnering closely with a number of teams and their data leads, you will foster a data culture grounded in insights and actions. You will leverage data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in democratising access to data, embedding and expanding modelling capabilities across the organisation including AI planning, forecasting and analysis where appropriate You will help solve organisational challenges by weaving together data threads that highlight invaluable insights to drive innovation You will proactively identify opportunities to embed data powered initiatives that deliver tangible value, improving productivity and improving data insights by building strong internal relationships, fostering a collaborative spirit Key Skills that would help you in this role: Have experience as a data scientist or data lead and be highly analytical with a strong grasp of modern statistical methods, tools and platforms Identify the data inputs and outputs are from each software solution to inform the next generation / direction of software upgrades across the organisation, including where appropriate AI integrated solutions Have end to end problem solving and communication skills, including diagnosis, data cleaning, integration and transformation, analysis, visualisation and presentation. Have experience in the translation of analysis results into data driven insights Highly motivated, independent thinker, able to exercise sound judgement in the interests of the organisation and to get things done
