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Amazon
Applied Scientist II, Last Mile Address Intelligence (LMAI)
Amazon
Applied Scientist II, Last Mile Address Intelligence (LMAI) Customer addresses, geospatial information, and road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of address normalization, geocode learning, maps learning, and time estimations including route-time, delivery-time, and transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and build increasingly sophisticated solutions year over year. In the process, there will be opportunities to innovate, explore SOTA, and publish the research in internal and external ML conferences. The Role: As an Applied Scientist II, you will tackle complex challenges in address normalization, geospatial analysis, and predictive modeling for delivery operations. You will work on enterprise-scale machine learning solutions, developing and implementing sophisticated algorithms that directly impact business outcomes. This role offers the opportunity to innovate with state-of-the-art technologies, including large language models and advanced AI applications. Technical Scope: Your work will encompass address intelligence, involving complex data processing across multiple languages and regions. You'll develop machine learning frameworks that handle geographical relationships, location attributes, and routing optimizations. The role includes working with diverse data sources, including mapping information, geographical datasets, and various location identifiers. The ideal candidate will possess deep knowledge of machine learning methods for large-scale predictive modeling, natural language processing, and graph-based learning. Experience in productionizing ML models and good communication skills are essential. You should be comfortable explaining complex technical concepts to diverse stakeholders and working collaboratively in a fast-paced environment. This position offers significant opportunities for professional development, including working on multi-year complex problems, publishing research in prestigious ML conferences, and developing innovative solutions using technologies. You'll have end-to-end ownership of projects from design through implementation, with the chance to make meaningful contributions to large-scale logistics operations. Key Job Responsibilities As an Applied Scientist II, your responsibility will be to deliver on a well-defined but complex business problem, explore SOTA technologies including GenAI, and customize the large models as suitable for the application. Your job will be to work on an end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open-ended ML directions within the space and publish the work in prestigious ML conferences. About the Team The Last Mile Address Intelligence (LMAI) team owns the worldwide charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning. The team works out of Hyderabad and Bangalore offices in India. LMAI is a part of the Geospatial science team, which also owns problems in the space of maps learning and travel time estimations. The rest of the Geospatial science team and senior leadership of Last Mile org works out of Bellevue office. BASIC QUALIFICATIONS 3+ years of building models for business application experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python, or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Master's degree Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
Applied Scientist II, Last Mile Address Intelligence (LMAI) Customer addresses, geospatial information, and road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of address normalization, geocode learning, maps learning, and time estimations including route-time, delivery-time, and transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and build increasingly sophisticated solutions year over year. In the process, there will be opportunities to innovate, explore SOTA, and publish the research in internal and external ML conferences. The Role: As an Applied Scientist II, you will tackle complex challenges in address normalization, geospatial analysis, and predictive modeling for delivery operations. You will work on enterprise-scale machine learning solutions, developing and implementing sophisticated algorithms that directly impact business outcomes. This role offers the opportunity to innovate with state-of-the-art technologies, including large language models and advanced AI applications. Technical Scope: Your work will encompass address intelligence, involving complex data processing across multiple languages and regions. You'll develop machine learning frameworks that handle geographical relationships, location attributes, and routing optimizations. The role includes working with diverse data sources, including mapping information, geographical datasets, and various location identifiers. The ideal candidate will possess deep knowledge of machine learning methods for large-scale predictive modeling, natural language processing, and graph-based learning. Experience in productionizing ML models and good communication skills are essential. You should be comfortable explaining complex technical concepts to diverse stakeholders and working collaboratively in a fast-paced environment. This position offers significant opportunities for professional development, including working on multi-year complex problems, publishing research in prestigious ML conferences, and developing innovative solutions using technologies. You'll have end-to-end ownership of projects from design through implementation, with the chance to make meaningful contributions to large-scale logistics operations. Key Job Responsibilities As an Applied Scientist II, your responsibility will be to deliver on a well-defined but complex business problem, explore SOTA technologies including GenAI, and customize the large models as suitable for the application. Your job will be to work on an end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open-ended ML directions within the space and publish the work in prestigious ML conferences. About the Team The Last Mile Address Intelligence (LMAI) team owns the worldwide charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning. The team works out of Hyderabad and Bangalore offices in India. LMAI is a part of the Geospatial science team, which also owns problems in the space of maps learning and travel time estimations. The rest of the Geospatial science team and senior leadership of Last Mile org works out of Bellevue office. BASIC QUALIFICATIONS 3+ years of building models for business application experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python, or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Master's degree Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
eCommerce Promotions Manager
Sage City Newcastle Upon Tyne, Tyne And Wear
Job Details: eCommerce Promotions Manager Are you commercially minded, detail-driven, and ready to own high-impact eCommerce/online/web promotional campaigns for a global software business? We're looking for an eCommerce Promotions Manager to join our Digital Performance Marketing team to lead the planning and execution of promotions across -translating compelling offers into measurable customer growth. You'll play a key role in our performance marketing team, managing the promotional calendar, launching web promotional campaigns, and optimising them to drive sign-ups for our software solutions. This is a hands-on role that blends marketing execution with commercial thinking-and one that requires a strong focus on performance, using insights and learnings to continuously refine and improve results. You'll manage one direct report and work closely with marketing and digital stakeholders across the UK and globally. What We're Looking For: Digital/Online/eCommerce Promotions Marketing Experience • 5 years' experience in digital or eCommerce marketing, trading, promotional strategy-ideally within a software or subscription-based business • Demonstrated ability to develop and execute promotional campaigns that drive conversions Performance Analysis & Reporting • A strong analytical mindset with experience using data to guide decisions and improve campaign performance • Confident tracking, measuring, and reporting on campaign effectiveness, including A/B testing Communication & Collaboration • You can effectively communicate with cross-functional teams and simplify complex information when needed • Skilled at collaborating with creative, content, and web operations marketing teams to deliver web promotional campaigns Project & Stakeholder Management • You have experience managing multiple time-sensitive promotional campaigns with a focus on quality • Able to build strong relationships and trust to influence stakeholders aligning on promotional plans Location Hybrid 3 days per week from our Newcastle office: C23, 5&6, Cobalt Park Way, Wallsend NE28 9EJ Key Responsibilities Own the promotional calendar for ensuring activity aligns with commercial priorities Plan and execute compelling digital offers and campaigns to drive customer acquisition and conversions Lead campaign coordination across creative, content, digital, and web teams Oversee campaign QA and ensure flawless delivery across digital platforms Monitor and report on performance metrics such as conversion rate, engagement, and revenue impact Use data and competitor insights to recommend and implement campaign improvements Support A/B testing strategy to continuously optimise campaigns Collaborate with stakeholders across Performance Marketing, Paid Media, Website Strategy, and Experimentation Manage and mentor an Associate-level direct report Benefits We have plenty • Generous bonuses and pension scheme: Up to 8% matched pension contribution plus 2% top-up by Sage (8+8+2% = 18% total contribution). • 25 days of paid annual leave with the option to buy up to another 5 days • 8 bank holiday days • Paid 5 days yearly to volunteer through our Sage Foundation • 50% income protection • Holiday buy + sell • Comprehensive health, dental, and vision coverage • Work away scheme for up to 10 weeks a year • Ongoing training and professional development • Hybrid working • Healthy Mind app membership • Access to various helpful memberships for finances, health and wellbeing Function Performance Marketing Country United Kingdom Office Location Newcastle Work Place type Hybrid Advert Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at .
May 12, 2025
Full time
Job Details: eCommerce Promotions Manager Are you commercially minded, detail-driven, and ready to own high-impact eCommerce/online/web promotional campaigns for a global software business? We're looking for an eCommerce Promotions Manager to join our Digital Performance Marketing team to lead the planning and execution of promotions across -translating compelling offers into measurable customer growth. You'll play a key role in our performance marketing team, managing the promotional calendar, launching web promotional campaigns, and optimising them to drive sign-ups for our software solutions. This is a hands-on role that blends marketing execution with commercial thinking-and one that requires a strong focus on performance, using insights and learnings to continuously refine and improve results. You'll manage one direct report and work closely with marketing and digital stakeholders across the UK and globally. What We're Looking For: Digital/Online/eCommerce Promotions Marketing Experience • 5 years' experience in digital or eCommerce marketing, trading, promotional strategy-ideally within a software or subscription-based business • Demonstrated ability to develop and execute promotional campaigns that drive conversions Performance Analysis & Reporting • A strong analytical mindset with experience using data to guide decisions and improve campaign performance • Confident tracking, measuring, and reporting on campaign effectiveness, including A/B testing Communication & Collaboration • You can effectively communicate with cross-functional teams and simplify complex information when needed • Skilled at collaborating with creative, content, and web operations marketing teams to deliver web promotional campaigns Project & Stakeholder Management • You have experience managing multiple time-sensitive promotional campaigns with a focus on quality • Able to build strong relationships and trust to influence stakeholders aligning on promotional plans Location Hybrid 3 days per week from our Newcastle office: C23, 5&6, Cobalt Park Way, Wallsend NE28 9EJ Key Responsibilities Own the promotional calendar for ensuring activity aligns with commercial priorities Plan and execute compelling digital offers and campaigns to drive customer acquisition and conversions Lead campaign coordination across creative, content, digital, and web teams Oversee campaign QA and ensure flawless delivery across digital platforms Monitor and report on performance metrics such as conversion rate, engagement, and revenue impact Use data and competitor insights to recommend and implement campaign improvements Support A/B testing strategy to continuously optimise campaigns Collaborate with stakeholders across Performance Marketing, Paid Media, Website Strategy, and Experimentation Manage and mentor an Associate-level direct report Benefits We have plenty • Generous bonuses and pension scheme: Up to 8% matched pension contribution plus 2% top-up by Sage (8+8+2% = 18% total contribution). • 25 days of paid annual leave with the option to buy up to another 5 days • 8 bank holiday days • Paid 5 days yearly to volunteer through our Sage Foundation • 50% income protection • Holiday buy + sell • Comprehensive health, dental, and vision coverage • Work away scheme for up to 10 weeks a year • Ongoing training and professional development • Hybrid working • Healthy Mind app membership • Access to various helpful memberships for finances, health and wellbeing Function Performance Marketing Country United Kingdom Office Location Newcastle Work Place type Hybrid Advert Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at .
Senior Data Management Professional - Data Science - Data Management Lab London, GBR Posted today
BLOOMBERG L.P.
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology quickly and accurately. The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness. As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices. As a valued member of our team, we'll trust you to: Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation You'll need to have a strong combination of the following: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field 3-5 years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis Strong coding skills ideally in Python and experience with SQL for data querying Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab) Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome) Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences Knowledge of financial markets and Bloomberg products is a plus Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
May 12, 2025
Full time
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology quickly and accurately. The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness. As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices. As a valued member of our team, we'll trust you to: Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation You'll need to have a strong combination of the following: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field 3-5 years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis Strong coding skills ideally in Python and experience with SQL for data querying Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab) Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome) Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences Knowledge of financial markets and Bloomberg products is a plus Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
AI Scientist
Moorepay Limited Watford, Hertfordshire
About the role As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis' client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions. You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact. At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. AI Integration into HR, Workforce Management, and Payroll Systems Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules. Automating repetitive HR tasks like payroll processing and compliance checks. Implementing AI-driven workforce forecasting and scheduling. Developing AI-powered insights for HR leaders to improve talent management. Enhancing employee self-service with AI bots, assistants, and workspaces. AI Ethics, Privacy, and Security Designing AI systems that are safe, unbiased, and compliant with GDPR. Working with Legal teams to assess and mitigate AI-related risks. Ensuring AI models do not reinforce biases in HR processes. Implementing privacy-preserving techniques in AI solutions. Collaboration and Cross-Functional Work Working with Product Managers, Engineers, and business stakeholders to define AI goals. Communicating AI concepts in a business-friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python / other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI Awareness of AI ethics, bias mitigation, and fairness in models. Understanding of GDPR and compliance frameworks for AI in HR applications. Ability to design fair and interpretable AI systems. Problem Solving and Critical Thinking Strong analytical skills to improve AI model performance. Ability to develop innovative AI-driven solutions for business challenges. Business Acumen and HR Domain Knowledge Understanding of HR, payroll, and workforce management processes would be advantageous. Ability to translate AI research into commercially viable products. Experience working with HR datasets and organisational analytics. Collaboration and Communication Ability to explain AI concepts to non-technical stakeholders. Experience working in cross-functional teams. Strong documentation skills for AI research and best practices. Enthusiasm for mentoring and knowledge sharing. Adaptability and Continuous Learning Ability to work in a fast-paced, entrepreneurial setting. Willingness to experiment with emerging AI technologies. Commitment to ongoing learning in AI and HR tech. Strategic and product-focused thinking. Vision for AI-driven business expansion at Zellis. Focus on delivering measurable AI value to HR professionals. Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & Culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from our 3,000+ colleagues, we live and breathe every day: Unstoppable together. Always learning. Make it count. Think scale. Our people are critical to our ongoing success; we're proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you'll have the chance to stretch and challenge yourself in an environment that's varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you'll receive: A competitive base salary. 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday. Private medical insurance. Life assurance 4x salary. Enhanced pension scheme with company contributions up to 8.5%. A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.
May 12, 2025
Full time
About the role As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis' client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions. You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact. At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. AI Integration into HR, Workforce Management, and Payroll Systems Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules. Automating repetitive HR tasks like payroll processing and compliance checks. Implementing AI-driven workforce forecasting and scheduling. Developing AI-powered insights for HR leaders to improve talent management. Enhancing employee self-service with AI bots, assistants, and workspaces. AI Ethics, Privacy, and Security Designing AI systems that are safe, unbiased, and compliant with GDPR. Working with Legal teams to assess and mitigate AI-related risks. Ensuring AI models do not reinforce biases in HR processes. Implementing privacy-preserving techniques in AI solutions. Collaboration and Cross-Functional Work Working with Product Managers, Engineers, and business stakeholders to define AI goals. Communicating AI concepts in a business-friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python / other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI Awareness of AI ethics, bias mitigation, and fairness in models. Understanding of GDPR and compliance frameworks for AI in HR applications. Ability to design fair and interpretable AI systems. Problem Solving and Critical Thinking Strong analytical skills to improve AI model performance. Ability to develop innovative AI-driven solutions for business challenges. Business Acumen and HR Domain Knowledge Understanding of HR, payroll, and workforce management processes would be advantageous. Ability to translate AI research into commercially viable products. Experience working with HR datasets and organisational analytics. Collaboration and Communication Ability to explain AI concepts to non-technical stakeholders. Experience working in cross-functional teams. Strong documentation skills for AI research and best practices. Enthusiasm for mentoring and knowledge sharing. Adaptability and Continuous Learning Ability to work in a fast-paced, entrepreneurial setting. Willingness to experiment with emerging AI technologies. Commitment to ongoing learning in AI and HR tech. Strategic and product-focused thinking. Vision for AI-driven business expansion at Zellis. Focus on delivering measurable AI value to HR professionals. Ability to balance long-term AI research with short-term business impact. Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & Culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from our 3,000+ colleagues, we live and breathe every day: Unstoppable together. Always learning. Make it count. Think scale. Our people are critical to our ongoing success; we're proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you'll have the chance to stretch and challenge yourself in an environment that's varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you'll receive: A competitive base salary. 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday. Private medical insurance. Life assurance 4x salary. Enhanced pension scheme with company contributions up to 8.5%. A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.
NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence
NLP PEOPLE
NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community. Develop state-of-the-art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production. Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business. Required Qualifications, Capabilities, and Skills Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments. Curious, hardworking and detail-oriented, and motivated by complex analytical problems. Preferred Qualifications, Capabilities, and Skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development. Knowledge in search/ranking, Reinforcement Learning or Meta Learning. Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code. Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal. About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning. For more information about the MLCOE, please visit this link . To learn about how we're using AI/ML to drive transformational change, please read this blog . The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Company: Chase- Candidate Experience page Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Big Data , Industry , Natural Language Processing , NLP , Speech Recognition , United Kingdom
May 12, 2025
Full time
NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community. Develop state-of-the-art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production. Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business. Required Qualifications, Capabilities, and Skills Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments. Curious, hardworking and detail-oriented, and motivated by complex analytical problems. Preferred Qualifications, Capabilities, and Skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development. Knowledge in search/ranking, Reinforcement Learning or Meta Learning. Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code. Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal. About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning. For more information about the MLCOE, please visit this link . To learn about how we're using AI/ML to drive transformational change, please read this blog . The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Company: Chase- Candidate Experience page Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Big Data , Industry , Natural Language Processing , NLP , Speech Recognition , United Kingdom
Senior Behavioural Scientist
The Behavioral Economics Group Glasgow, Renfrewshire
Glasgow/ Cardiff / London, United Kingdom At the forefront of shaping consumer behaviour in the energy sector, Ofgem is harnessing behavioural science to combat some of the most pressing challenges of our time. We're looking for a Senior Behavioural Scientist to join us and apply cutting-edge insights to inform policy, optimise market interventions, and drive better outcomes for consumers. Ofgem is Great Britain's independent energy regulator. We're at the forefront of change across the energy sector, driving toward Net Zero whilst protecting energy consumers - especially vulnerable people. We're offering a 12-month fixed-term contract with the chance to apply your expertise in behavioural science within a high-profile and fast-moving policy environment. You'll be part of a well-established function known for its leadership in behavioural insights, working on innovative projects that will help shape the future of the energy market. This is a fantastic opportunity for someone looking to translate behavioural research into meaningful regulatory and consumer outcomes. You'll lead high-impact behavioural research projects, bringing your experience in trial design and online experimentation to continue to grow our ability to provide behaviourally informed empirical evidence through in-house online and field experiments. You will design and test interventions that influence real-world energy consumption and consumer engagement, and work alongside policy teams to embed behavioural science into decision-making. We're looking for someone with strong analytical and problem-solving skills, experience in behavioural research, and the ability to communicate complex findings to diverse audiences. You'll need a solid grounding in behavioural science or behavioural economics, as well as experience designing and delivering behavioural experiments and research methodologies. At Ofgem, you'll join a collaborative and inclusive workplace, where behavioural insights play a key role in shaping regulatory policy. This is your chance to work on real-world challenges, develop innovative solutions, and contribute to the transition towards a more flexible and sustainable energy market. We have a critical purpose to embed behavioural science in policy and regulation, ensuring that interventions are evidence-based, consumer-focused, and effective. Your work will help drive innovation in the energy sector, supporting consumers and businesses in making smarter, more sustainable choices. Responsibilities Delivery: Lead the delivery of high-quality behavioural research/projects to provide evidence that helps Ofgem to deliver on its strategic priorities, ensuring effective project management and quality assurance. Stakeholder engagement/influencing: Build strong, effective relationships, collaborating with policy teams across Ofgem to use behavioural science and/or economics to answer complex questions. Build relationships with external stakeholders to maximise partnership and collaboration opportunities e.g. ensure Ofgem benefits from behavioural science research conducted by academia. Communication/impact: Draft clear and concise documents, including briefings, reports, and presentations and present work at internal forums. Help build capability and raise visibility of Behavioural Science in Ofgem. Increase Ofgem's impact as a regulatory leader in Behavioural Science by representing Ofgem at external events, conferences etc to showcase the work of behavioural science in Ofgem. Innovation: Keep abreast of advances in the field of Behavioural Science and how this can be applied in Ofgem. Requirements Hands-on experience of behavioural research and statistical analysis (including designing and programming online experiments, other experimental and quasi-experimental methods and literature reviews) with proven experience of personally delivering online experiments (LEAD) Advanced knowledge and understanding of behavioural science and/or behavioural economics with an up to date understanding of the key literature (LEAD) Experience of applying behavioural science in a real-world setting (e.g. in a regulatory, government, academia or consultancy role) Ability to distil complex subject matter into relevant messages for different audiences - both orally and in writing, combined with excellent drafting skills. Experience working collaboratively with a diverse range of stakeholders Applied experience of wider qualitative and quantitative research approaches. Understanding of energy policy issues - particularly around retail markets and Net Zero.
May 12, 2025
Full time
Glasgow/ Cardiff / London, United Kingdom At the forefront of shaping consumer behaviour in the energy sector, Ofgem is harnessing behavioural science to combat some of the most pressing challenges of our time. We're looking for a Senior Behavioural Scientist to join us and apply cutting-edge insights to inform policy, optimise market interventions, and drive better outcomes for consumers. Ofgem is Great Britain's independent energy regulator. We're at the forefront of change across the energy sector, driving toward Net Zero whilst protecting energy consumers - especially vulnerable people. We're offering a 12-month fixed-term contract with the chance to apply your expertise in behavioural science within a high-profile and fast-moving policy environment. You'll be part of a well-established function known for its leadership in behavioural insights, working on innovative projects that will help shape the future of the energy market. This is a fantastic opportunity for someone looking to translate behavioural research into meaningful regulatory and consumer outcomes. You'll lead high-impact behavioural research projects, bringing your experience in trial design and online experimentation to continue to grow our ability to provide behaviourally informed empirical evidence through in-house online and field experiments. You will design and test interventions that influence real-world energy consumption and consumer engagement, and work alongside policy teams to embed behavioural science into decision-making. We're looking for someone with strong analytical and problem-solving skills, experience in behavioural research, and the ability to communicate complex findings to diverse audiences. You'll need a solid grounding in behavioural science or behavioural economics, as well as experience designing and delivering behavioural experiments and research methodologies. At Ofgem, you'll join a collaborative and inclusive workplace, where behavioural insights play a key role in shaping regulatory policy. This is your chance to work on real-world challenges, develop innovative solutions, and contribute to the transition towards a more flexible and sustainable energy market. We have a critical purpose to embed behavioural science in policy and regulation, ensuring that interventions are evidence-based, consumer-focused, and effective. Your work will help drive innovation in the energy sector, supporting consumers and businesses in making smarter, more sustainable choices. Responsibilities Delivery: Lead the delivery of high-quality behavioural research/projects to provide evidence that helps Ofgem to deliver on its strategic priorities, ensuring effective project management and quality assurance. Stakeholder engagement/influencing: Build strong, effective relationships, collaborating with policy teams across Ofgem to use behavioural science and/or economics to answer complex questions. Build relationships with external stakeholders to maximise partnership and collaboration opportunities e.g. ensure Ofgem benefits from behavioural science research conducted by academia. Communication/impact: Draft clear and concise documents, including briefings, reports, and presentations and present work at internal forums. Help build capability and raise visibility of Behavioural Science in Ofgem. Increase Ofgem's impact as a regulatory leader in Behavioural Science by representing Ofgem at external events, conferences etc to showcase the work of behavioural science in Ofgem. Innovation: Keep abreast of advances in the field of Behavioural Science and how this can be applied in Ofgem. Requirements Hands-on experience of behavioural research and statistical analysis (including designing and programming online experiments, other experimental and quasi-experimental methods and literature reviews) with proven experience of personally delivering online experiments (LEAD) Advanced knowledge and understanding of behavioural science and/or behavioural economics with an up to date understanding of the key literature (LEAD) Experience of applying behavioural science in a real-world setting (e.g. in a regulatory, government, academia or consultancy role) Ability to distil complex subject matter into relevant messages for different audiences - both orally and in writing, combined with excellent drafting skills. Experience working collaboratively with a diverse range of stakeholders Applied experience of wider qualitative and quantitative research approaches. Understanding of energy policy issues - particularly around retail markets and Net Zero.
Senior Behavioural Scientist
The Behavioral Economics Group Cardiff, South Glamorgan
Glasgow/ Cardiff / London, United Kingdom At the forefront of shaping consumer behaviour in the energy sector, Ofgem is harnessing behavioural science to combat some of the most pressing challenges of our time. We're looking for a Senior Behavioural Scientist to join us and apply cutting-edge insights to inform policy, optimise market interventions, and drive better outcomes for consumers. Ofgem is Great Britain's independent energy regulator. We're at the forefront of change across the energy sector, driving toward Net Zero whilst protecting energy consumers - especially vulnerable people. We're offering a 12-month fixed-term contract with the chance to apply your expertise in behavioural science within a high-profile and fast-moving policy environment. You'll be part of a well-established function known for its leadership in behavioural insights, working on innovative projects that will help shape the future of the energy market. This is a fantastic opportunity for someone looking to translate behavioural research into meaningful regulatory and consumer outcomes. You'll lead high-impact behavioural research projects, bringing your experience in trial design and online experimentation to continue to grow our ability to provide behaviourally informed empirical evidence through in-house online and field experiments. You will design and test interventions that influence real-world energy consumption and consumer engagement, and work alongside policy teams to embed behavioural science into decision-making. We're looking for someone with strong analytical and problem-solving skills, experience in behavioural research, and the ability to communicate complex findings to diverse audiences. You'll need a solid grounding in behavioural science or behavioural economics, as well as experience designing and delivering behavioural experiments and research methodologies. At Ofgem, you'll join a collaborative and inclusive workplace, where behavioural insights play a key role in shaping regulatory policy. This is your chance to work on real-world challenges, develop innovative solutions, and contribute to the transition towards a more flexible and sustainable energy market. We have a critical purpose to embed behavioural science in policy and regulation, ensuring that interventions are evidence-based, consumer-focused, and effective. Your work will help drive innovation in the energy sector, supporting consumers and businesses in making smarter, more sustainable choices. Responsibilities Delivery: Lead the delivery of high-quality behavioural research/projects to provide evidence that helps Ofgem to deliver on its strategic priorities, ensuring effective project management and quality assurance. Stakeholder engagement/influencing: Build strong, effective relationships, collaborating with policy teams across Ofgem to use behavioural science and/or economics to answer complex questions. Build relationships with external stakeholders to maximise partnership and collaboration opportunities e.g. ensure Ofgem benefits from behavioural science research conducted by academia. Communication/impact: Draft clear and concise documents, including briefings, reports, and presentations and present work at internal forums. Help build capability and raise visibility of Behavioural Science in Ofgem. Increase Ofgem's impact as a regulatory leader in Behavioural Science by representing Ofgem at external events, conferences etc to showcase the work of behavioural science in Ofgem. Innovation: Keep abreast of advances in the field of Behavioural Science and how this can be applied in Ofgem. Requirements Hands-on experience of behavioural research and statistical analysis (including designing and programming online experiments, other experimental and quasi-experimental methods and literature reviews) with proven experience of personally delivering online experiments (LEAD) Advanced knowledge and understanding of behavioural science and/or behavioural economics with an up to date understanding of the key literature (LEAD) Experience of applying behavioural science in a real-world setting (e.g. in a regulatory, government, academia or consultancy role) Ability to distil complex subject matter into relevant messages for different audiences - both orally and in writing, combined with excellent drafting skills. Experience working collaboratively with a diverse range of stakeholders Applied experience of wider qualitative and quantitative research approaches. Understanding of energy policy issues - particularly around retail markets and Net Zero.
May 12, 2025
Full time
Glasgow/ Cardiff / London, United Kingdom At the forefront of shaping consumer behaviour in the energy sector, Ofgem is harnessing behavioural science to combat some of the most pressing challenges of our time. We're looking for a Senior Behavioural Scientist to join us and apply cutting-edge insights to inform policy, optimise market interventions, and drive better outcomes for consumers. Ofgem is Great Britain's independent energy regulator. We're at the forefront of change across the energy sector, driving toward Net Zero whilst protecting energy consumers - especially vulnerable people. We're offering a 12-month fixed-term contract with the chance to apply your expertise in behavioural science within a high-profile and fast-moving policy environment. You'll be part of a well-established function known for its leadership in behavioural insights, working on innovative projects that will help shape the future of the energy market. This is a fantastic opportunity for someone looking to translate behavioural research into meaningful regulatory and consumer outcomes. You'll lead high-impact behavioural research projects, bringing your experience in trial design and online experimentation to continue to grow our ability to provide behaviourally informed empirical evidence through in-house online and field experiments. You will design and test interventions that influence real-world energy consumption and consumer engagement, and work alongside policy teams to embed behavioural science into decision-making. We're looking for someone with strong analytical and problem-solving skills, experience in behavioural research, and the ability to communicate complex findings to diverse audiences. You'll need a solid grounding in behavioural science or behavioural economics, as well as experience designing and delivering behavioural experiments and research methodologies. At Ofgem, you'll join a collaborative and inclusive workplace, where behavioural insights play a key role in shaping regulatory policy. This is your chance to work on real-world challenges, develop innovative solutions, and contribute to the transition towards a more flexible and sustainable energy market. We have a critical purpose to embed behavioural science in policy and regulation, ensuring that interventions are evidence-based, consumer-focused, and effective. Your work will help drive innovation in the energy sector, supporting consumers and businesses in making smarter, more sustainable choices. Responsibilities Delivery: Lead the delivery of high-quality behavioural research/projects to provide evidence that helps Ofgem to deliver on its strategic priorities, ensuring effective project management and quality assurance. Stakeholder engagement/influencing: Build strong, effective relationships, collaborating with policy teams across Ofgem to use behavioural science and/or economics to answer complex questions. Build relationships with external stakeholders to maximise partnership and collaboration opportunities e.g. ensure Ofgem benefits from behavioural science research conducted by academia. Communication/impact: Draft clear and concise documents, including briefings, reports, and presentations and present work at internal forums. Help build capability and raise visibility of Behavioural Science in Ofgem. Increase Ofgem's impact as a regulatory leader in Behavioural Science by representing Ofgem at external events, conferences etc to showcase the work of behavioural science in Ofgem. Innovation: Keep abreast of advances in the field of Behavioural Science and how this can be applied in Ofgem. Requirements Hands-on experience of behavioural research and statistical analysis (including designing and programming online experiments, other experimental and quasi-experimental methods and literature reviews) with proven experience of personally delivering online experiments (LEAD) Advanced knowledge and understanding of behavioural science and/or behavioural economics with an up to date understanding of the key literature (LEAD) Experience of applying behavioural science in a real-world setting (e.g. in a regulatory, government, academia or consultancy role) Ability to distil complex subject matter into relevant messages for different audiences - both orally and in writing, combined with excellent drafting skills. Experience working collaboratively with a diverse range of stakeholders Applied experience of wider qualitative and quantitative research approaches. Understanding of energy policy issues - particularly around retail markets and Net Zero.
Monzo Bank
Lead Machine Learning Scientist, Personalisation
Monzo Bank
London/Cardiff/UK Remote £105,000 - £140,000 + Benefits About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's mission-to make money work for everyone. By delivering tailored recommendations, proactive insights, and intuitive experiences, we help customers make better financial decisions while strengthening their connection with the bank. Every model we build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring they receive products and services tailored to their needs. From intelligent recommendations and predictive insights to seamless discovery and real-time personalisation, our Machine Learning Scientists tackle challenges that directly improve customer outcomes. Whether it's surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on: A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we'll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models. Your work may involve segmentation models to better understand customer behaviors, contextual bandits for optimising real-time decisions, or personalised ranking algorithms that improve search and discovery. You'll also build scalable, explainable, and responsible AI solutions that enhance trust, transparency, and the overall customer experience. The technical approaches you take to help solve customer problems will be very much in your hands and we'll strongly encourage and support experimentation and innovation. We'll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. Your day-to-day: As a technical individual contributor, you'll be providing technical leadership and shipping highly impactful ML-based solutions. You'll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You'll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. This will involve: Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation. Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences. Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should apply if: What we're doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company. You have experience developing and shipping state of the art ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices. You're comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. You want to be involved in building a product that you (and the people you know) use every day. You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain. You're adaptable, curious and enjoy learning new technologies and ideas. Nice to haves: Experience working on personalisation problems for consumer applications. Commercial experience writing critical production code and working with microservices. The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call. 45 minute call with hiring manager. 1 take home task. 3 x 1-hour video calls with various team members. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: ️ We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here . If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
May 12, 2025
Full time
London/Cardiff/UK Remote £105,000 - £140,000 + Benefits About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's mission-to make money work for everyone. By delivering tailored recommendations, proactive insights, and intuitive experiences, we help customers make better financial decisions while strengthening their connection with the bank. Every model we build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring they receive products and services tailored to their needs. From intelligent recommendations and predictive insights to seamless discovery and real-time personalisation, our Machine Learning Scientists tackle challenges that directly improve customer outcomes. Whether it's surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on: A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we'll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models. Your work may involve segmentation models to better understand customer behaviors, contextual bandits for optimising real-time decisions, or personalised ranking algorithms that improve search and discovery. You'll also build scalable, explainable, and responsible AI solutions that enhance trust, transparency, and the overall customer experience. The technical approaches you take to help solve customer problems will be very much in your hands and we'll strongly encourage and support experimentation and innovation. We'll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. Your day-to-day: As a technical individual contributor, you'll be providing technical leadership and shipping highly impactful ML-based solutions. You'll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You'll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. This will involve: Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation. Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences. Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should apply if: What we're doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company. You have experience developing and shipping state of the art ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices. You're comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. You want to be involved in building a product that you (and the people you know) use every day. You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain. You're adaptable, curious and enjoy learning new technologies and ideas. Nice to haves: Experience working on personalisation problems for consumer applications. Commercial experience writing critical production code and working with microservices. The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call. 45 minute call with hiring manager. 1 take home task. 3 x 1-hour video calls with various team members. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: ️ We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here . If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Engineeringuk
Applied Scientist, Contextual Ads
Engineeringuk
DESCRIPTION Amazon Advertising is looking for an Applied Scientist to join its initiative that powers Amazon's contextual advertising products. Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like Contextual data processing and classification, traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. We are looking for a dynamic, innovative and accomplished Applied Scientist to work on machine learning and data science initiatives for contextual data processing and classification that power our contextual advertising solutions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own business problems/metrics of high ambiguity where you get to define the path forward for success of a new initiative? As an applied scientist, you will invent ML based solutions to power our contextual classification technology. As this is a new initiative, you will get an opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms and collaborate with multiple cross-functional teams. Key job responsibilities Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment. Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems. Promote the culture of experimentation and applied science at Amazon. Demonstrated ability to meet deadlines while managing multiple projects. Excellent communication and presentation skills working with multiple peer groups and different levels of management. Influence and continuously improve a sustainable team culture that exemplifies Amazon's leadership principles. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Experience programming in Java, C++, Python or related language. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience in building machine learning models for business application. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Experience with Artificial General Intelligence, generative deep learning models, and specifically LLM development. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
DESCRIPTION Amazon Advertising is looking for an Applied Scientist to join its initiative that powers Amazon's contextual advertising products. Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like Contextual data processing and classification, traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. We are looking for a dynamic, innovative and accomplished Applied Scientist to work on machine learning and data science initiatives for contextual data processing and classification that power our contextual advertising solutions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own business problems/metrics of high ambiguity where you get to define the path forward for success of a new initiative? As an applied scientist, you will invent ML based solutions to power our contextual classification technology. As this is a new initiative, you will get an opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms and collaborate with multiple cross-functional teams. Key job responsibilities Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment. Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems. Promote the culture of experimentation and applied science at Amazon. Demonstrated ability to meet deadlines while managing multiple projects. Excellent communication and presentation skills working with multiple peer groups and different levels of management. Influence and continuously improve a sustainable team culture that exemplifies Amazon's leadership principles. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Experience programming in Java, C++, Python or related language. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience in building machine learning models for business application. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Experience with Artificial General Intelligence, generative deep learning models, and specifically LLM development. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Amazon
Applied Scientist, Contextual Ads
Amazon
Job ID: Amazon Development Centre (London) Limited Amazon Advertising is looking for an Applied Scientist to join its initiative that powers Amazon's contextual advertising products. Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like contextual data processing and classification, traffic quality prediction (robot and fraud detection), security forensics and research, viewability prediction, brand safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. We are looking for a dynamic, innovative and accomplished Applied Scientist to work on machine learning and data science initiatives for contextual data processing and classification that power our contextual advertising solutions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own business problems/metrics of high ambiguity where you get to define the path forward for success of a new initiative? As an applied scientist, you will invent ML based solutions to power our contextual classification technology. As this is a new initiative, you will get an opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms and collaborate with multiple cross-functional teams. Key job responsibilities Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment. Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems. Promote the culture of experimentation and applied science at Amazon. Demonstrated ability to meet deadlines while managing multiple projects. Excellent communication and presentation skills working with multiple peer groups and different levels of management. Influence and continuously improve a sustainable team culture that exemplifies Amazon's leadership principles. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Experience programming in Java, C++, Python or related language. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience in building machine learning models for business application. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Experience with Artificial General Intelligence, generative deep learning models, and specifically LLM development. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
May 12, 2025
Full time
Job ID: Amazon Development Centre (London) Limited Amazon Advertising is looking for an Applied Scientist to join its initiative that powers Amazon's contextual advertising products. Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Supply Quality organization has the charter to solve optimization problems for ad-programs in Amazon and ensure high-quality ad-impressions. We develop advanced algorithms and infrastructure systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like contextual data processing and classification, traffic quality prediction (robot and fraud detection), security forensics and research, viewability prediction, brand safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. We are looking for a dynamic, innovative and accomplished Applied Scientist to work on machine learning and data science initiatives for contextual data processing and classification that power our contextual advertising solutions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own business problems/metrics of high ambiguity where you get to define the path forward for success of a new initiative? As an applied scientist, you will invent ML based solutions to power our contextual classification technology. As this is a new initiative, you will get an opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms and collaborate with multiple cross-functional teams. Key job responsibilities Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment. Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems. Promote the culture of experimentation and applied science at Amazon. Demonstrated ability to meet deadlines while managing multiple projects. Excellent communication and presentation skills working with multiple peer groups and different levels of management. Influence and continuously improve a sustainable team culture that exemplifies Amazon's leadership principles. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Experience programming in Java, C++, Python or related language. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience in building machine learning models for business application. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Experience with Artificial General Intelligence, generative deep learning models, and specifically LLM development. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Senior Behavioural Scientist
The Behavioral Economics Group
Glasgow/ Cardiff / London, United Kingdom At the forefront of shaping consumer behaviour in the energy sector, Ofgem is harnessing behavioural science to combat some of the most pressing challenges of our time. We're looking for a Senior Behavioural Scientist to join us and apply cutting-edge insights to inform policy, optimise market interventions, and drive better outcomes for consumers. Ofgem is Great Britain's independent energy regulator. We're at the forefront of change across the energy sector, driving toward Net Zero whilst protecting energy consumers - especially vulnerable people. We're offering a 12-month fixed-term contract with the chance to apply your expertise in behavioural science within a high-profile and fast-moving policy environment. You'll be part of a well-established function known for its leadership in behavioural insights, working on innovative projects that will help shape the future of the energy market. This is a fantastic opportunity for someone looking to translate behavioural research into meaningful regulatory and consumer outcomes. You'll lead high-impact behavioural research projects, bringing your experience in trial design and online experimentation to continue to grow our ability to provide behaviourally informed empirical evidence through in-house online and field experiments. You will design and test interventions that influence real-world energy consumption and consumer engagement, and work alongside policy teams to embed behavioural science into decision-making. We're looking for someone with strong analytical and problem-solving skills, experience in behavioural research, and the ability to communicate complex findings to diverse audiences. You'll need a solid grounding in behavioural science or behavioural economics, as well as experience designing and delivering behavioural experiments and research methodologies. At Ofgem, you'll join a collaborative and inclusive workplace, where behavioural insights play a key role in shaping regulatory policy. This is your chance to work on real-world challenges, develop innovative solutions, and contribute to the transition towards a more flexible and sustainable energy market. We have a critical purpose to embed behavioural science in policy and regulation, ensuring that interventions are evidence-based, consumer-focused, and effective. Your work will help drive innovation in the energy sector, supporting consumers and businesses in making smarter, more sustainable choices. Responsibilities Delivery: Lead the delivery of high-quality behavioural research/projects to provide evidence that helps Ofgem to deliver on its strategic priorities, ensuring effective project management and quality assurance. Stakeholder engagement/influencing: Build strong, effective relationships, collaborating with policy teams across Ofgem to use behavioural science and/or economics to answer complex questions. Build relationships with external stakeholders to maximise partnership and collaboration opportunities e.g. ensure Ofgem benefits from behavioural science research conducted by academia. Communication/impact: Draft clear and concise documents, including briefings, reports, and presentations and present work at internal forums. Help build capability and raise visibility of Behavioural Science in Ofgem. Increase Ofgem's impact as a regulatory leader in Behavioural Science by representing Ofgem at external events, conferences etc to showcase the work of behavioural science in Ofgem. Innovation: Keep abreast of advances in the field of Behavioural Science and how this can be applied in Ofgem. Requirements Hands-on experience of behavioural research and statistical analysis (including designing and programming online experiments, other experimental and quasi-experimental methods and literature reviews) with proven experience of personally delivering online experiments (LEAD) Advanced knowledge and understanding of behavioural science and/or behavioural economics with an up to date understanding of the key literature (LEAD) Experience of applying behavioural science in a real-world setting (e.g. in a regulatory, government, academia or consultancy role) Ability to distil complex subject matter into relevant messages for different audiences - both orally and in writing, combined with excellent drafting skills. Experience working collaboratively with a diverse range of stakeholders Applied experience of wider qualitative and quantitative research approaches. Understanding of energy policy issues - particularly around retail markets and Net Zero.
May 12, 2025
Full time
Glasgow/ Cardiff / London, United Kingdom At the forefront of shaping consumer behaviour in the energy sector, Ofgem is harnessing behavioural science to combat some of the most pressing challenges of our time. We're looking for a Senior Behavioural Scientist to join us and apply cutting-edge insights to inform policy, optimise market interventions, and drive better outcomes for consumers. Ofgem is Great Britain's independent energy regulator. We're at the forefront of change across the energy sector, driving toward Net Zero whilst protecting energy consumers - especially vulnerable people. We're offering a 12-month fixed-term contract with the chance to apply your expertise in behavioural science within a high-profile and fast-moving policy environment. You'll be part of a well-established function known for its leadership in behavioural insights, working on innovative projects that will help shape the future of the energy market. This is a fantastic opportunity for someone looking to translate behavioural research into meaningful regulatory and consumer outcomes. You'll lead high-impact behavioural research projects, bringing your experience in trial design and online experimentation to continue to grow our ability to provide behaviourally informed empirical evidence through in-house online and field experiments. You will design and test interventions that influence real-world energy consumption and consumer engagement, and work alongside policy teams to embed behavioural science into decision-making. We're looking for someone with strong analytical and problem-solving skills, experience in behavioural research, and the ability to communicate complex findings to diverse audiences. You'll need a solid grounding in behavioural science or behavioural economics, as well as experience designing and delivering behavioural experiments and research methodologies. At Ofgem, you'll join a collaborative and inclusive workplace, where behavioural insights play a key role in shaping regulatory policy. This is your chance to work on real-world challenges, develop innovative solutions, and contribute to the transition towards a more flexible and sustainable energy market. We have a critical purpose to embed behavioural science in policy and regulation, ensuring that interventions are evidence-based, consumer-focused, and effective. Your work will help drive innovation in the energy sector, supporting consumers and businesses in making smarter, more sustainable choices. Responsibilities Delivery: Lead the delivery of high-quality behavioural research/projects to provide evidence that helps Ofgem to deliver on its strategic priorities, ensuring effective project management and quality assurance. Stakeholder engagement/influencing: Build strong, effective relationships, collaborating with policy teams across Ofgem to use behavioural science and/or economics to answer complex questions. Build relationships with external stakeholders to maximise partnership and collaboration opportunities e.g. ensure Ofgem benefits from behavioural science research conducted by academia. Communication/impact: Draft clear and concise documents, including briefings, reports, and presentations and present work at internal forums. Help build capability and raise visibility of Behavioural Science in Ofgem. Increase Ofgem's impact as a regulatory leader in Behavioural Science by representing Ofgem at external events, conferences etc to showcase the work of behavioural science in Ofgem. Innovation: Keep abreast of advances in the field of Behavioural Science and how this can be applied in Ofgem. Requirements Hands-on experience of behavioural research and statistical analysis (including designing and programming online experiments, other experimental and quasi-experimental methods and literature reviews) with proven experience of personally delivering online experiments (LEAD) Advanced knowledge and understanding of behavioural science and/or behavioural economics with an up to date understanding of the key literature (LEAD) Experience of applying behavioural science in a real-world setting (e.g. in a regulatory, government, academia or consultancy role) Ability to distil complex subject matter into relevant messages for different audiences - both orally and in writing, combined with excellent drafting skills. Experience working collaboratively with a diverse range of stakeholders Applied experience of wider qualitative and quantitative research approaches. Understanding of energy policy issues - particularly around retail markets and Net Zero.
Amazon
Senior Applied Scientist, Alexa
Amazon City, Edinburgh
We are a part of Amazon Artificial General Intelligence (AGI) organization where our mission is "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing advanced systems to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions. Key job responsibilities As a Senior Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learing, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval or reinforcement learning - 4+ years experience in building machine learning and deep learning models for large scale customer facing product of features - Hands on experience with LLMs - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field - Solid software development experience - Good written and spoken communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: October 18, 2024 (Updated 6 days ago) Posted: April 18, 2025 (Updated 6 days ago) Posted: July 17, 2024 (Updated 6 days ago) Posted: March 11, 2025 (Updated 6 days ago) Posted: April 2, 2025 (Updated 6 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
May 12, 2025
Full time
We are a part of Amazon Artificial General Intelligence (AGI) organization where our mission is "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing advanced systems to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions. Key job responsibilities As a Senior Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learing, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval or reinforcement learning - 4+ years experience in building machine learning and deep learning models for large scale customer facing product of features - Hands on experience with LLMs - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field - Solid software development experience - Good written and spoken communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: October 18, 2024 (Updated 6 days ago) Posted: April 18, 2025 (Updated 6 days ago) Posted: July 17, 2024 (Updated 6 days ago) Posted: March 11, 2025 (Updated 6 days ago) Posted: April 2, 2025 (Updated 6 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Manpower UK Ltd
Sous Chef
Manpower UK Ltd Romsey, Hampshire
Sous Chef Are you a passionate chef with a positive, can-do attitude? Do you thrive in a fast-paced gastro kitchen and want to be part of a close-knit, creative team? We're looking for a Sous Chef to join our client's relaxed yet ambitious kitchen, where your commitment and enthusiasm will be valued and rewarded. About the Venue Located in a picturesque riverside setting just outside Romsey, this well-established gastro pub is renowned for its inventive seasonal menus and warm, friendly atmosphere. The kitchen team is highly skilled, working collaboratively to deliver exceptional food using fresh, locally sourced ingredients. About the Role As Sous Chef, you'll work closely alongside the Head Chef, supporting daily kitchen operations and stepping up to lead when needed. You'll be involved in: Menu development and seasonal specials Cost control and supplier management Maintaining kitchen compliance and high food standards Training and supporting junior team members Helping to shape a positive kitchen culture You'll have the chance to bring your ideas to life, with menus changing every 3-4 months and plenty of room for creativity and experimentation. What We're Looking For A reliable, enthusiastic team player Experience with inventory management, cost control, and supplier relations Strong organisational and leadership skills Ability to manage the kitchen efficiently and maintain high standards Commitment to quality, teamwork, and a positive work environment Because of the business location, a driving licence/own transport is preferred, but if you have a reliable lift, that's fine. What's on Offer Competitive salary: 32,000- 35,000, plus an equal share of tips (Tronc) Full-time, 48 hours per week (typically over 4 / 4.5 days - initially 5 days to start) 28 days holiday per year (pro-rata) Free onsite parking Training and support Company discount scheme Supportive, relaxed team environment where creativity is encouraged If you're ready to take your next step as a Sous Chef and join a friendly, driven team, we'd love to hear from you!
May 11, 2025
Full time
Sous Chef Are you a passionate chef with a positive, can-do attitude? Do you thrive in a fast-paced gastro kitchen and want to be part of a close-knit, creative team? We're looking for a Sous Chef to join our client's relaxed yet ambitious kitchen, where your commitment and enthusiasm will be valued and rewarded. About the Venue Located in a picturesque riverside setting just outside Romsey, this well-established gastro pub is renowned for its inventive seasonal menus and warm, friendly atmosphere. The kitchen team is highly skilled, working collaboratively to deliver exceptional food using fresh, locally sourced ingredients. About the Role As Sous Chef, you'll work closely alongside the Head Chef, supporting daily kitchen operations and stepping up to lead when needed. You'll be involved in: Menu development and seasonal specials Cost control and supplier management Maintaining kitchen compliance and high food standards Training and supporting junior team members Helping to shape a positive kitchen culture You'll have the chance to bring your ideas to life, with menus changing every 3-4 months and plenty of room for creativity and experimentation. What We're Looking For A reliable, enthusiastic team player Experience with inventory management, cost control, and supplier relations Strong organisational and leadership skills Ability to manage the kitchen efficiently and maintain high standards Commitment to quality, teamwork, and a positive work environment Because of the business location, a driving licence/own transport is preferred, but if you have a reliable lift, that's fine. What's on Offer Competitive salary: 32,000- 35,000, plus an equal share of tips (Tronc) Full-time, 48 hours per week (typically over 4 / 4.5 days - initially 5 days to start) 28 days holiday per year (pro-rata) Free onsite parking Training and support Company discount scheme Supportive, relaxed team environment where creativity is encouraged If you're ready to take your next step as a Sous Chef and join a friendly, driven team, we'd love to hear from you!
Head of Business Development
Quilter Plc
Head of Business Development page is loaded Head of Business Development Apply locations London time type Full time posted on Posted Yesterday time left to apply End Date: May 30, 2025 (19 days left to apply) job requisition id R4069 About the Business Quilter Cheviot has been the wealth manager of choice for individuals and families for over 250 years, and today is one of the UK's largest wealth management firms offering expert discretionary investment management and financial advice through our sister company, Quilter Cheviot Financial Planning. We offer a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. We are part of Quilter plc, a leading provider of advice, investment platforms, multi-asset investment solutions and discretionary fund management which is listed on the London and Johannesburg stock exchanges and manages over £111.6 billion of client investments (as at March 2024). If you want to play a part in shaping the future of our business, bringing new ideas and challenge then now is a great time to join us. About the Role Level: 6 Department: Distribution Location: London Contract: Permanent In this highly visible role, you will act as an essential bridge between Quilter Cheviot's Investment Managers/Financial Planners and key professional services accounts. You will have extensive existing contacts and will play a key part in developing and delivering our business development plan through the identification of new relationships for Quilter Cheviot as well as strengthening existing ones with professional connections. Working with multiple stakeholders with the ability to deliver through others, the role will be key in delivering a significant part of our distribution strategy. Accountable for setting and delivering business targets and the plan associated with law firms Proactively identify professional intermediary business development opportunities, develop and monitor them, ensuring they meet client needs and support the business plan and revenue/profitability targets Identify new client opportunities to support the channel and work collaboratively and in a planned way with Proposition colleagues to deliver solutions that meet their needs Identify and deliver sales initiatives, events and PR opportunities to grow the business through law firms Identify, support and promote marketing campaigns working in partnership Marketing colleagues Working closely with specialists in and outside of your team, Investment Managers and Financial Planners you will identify the optimal pitch approach, reviewing and refining the approach on an ongoing basis. You will build a small team of direct reports including specialists and sales/sales support individuals who you will develop and empower to support business growth You will develop regular, clear and effective communication and engagement with regional and London Investment Management and Financial Planning teams Consumer Duty This role will directly impact good customer outcomes by identifying the appropriate target market and ensuring that propositions distributed via law firms meet their needs. The role holder will work with proposition teams to ensure that propositions remain aligned to and appropriate for their target markets. Senior Managers & Certification Regime (SMCR) Roles A certified role managing certified employees (COP & Divorce Specialists) About You A proven track record of success in distribution, ideally working with medium and large law firms, along with experience of managing a high performing distribution team, having influenced significant business opportunities and sizeable investment levels. Commercially astute with excellent communication and presentation skills, able to engage and influence externally at all levels Confidence, drive, energy, resilience and tenacity to deliver success in a challenging business environment Strategic Influencing - through understanding and energising others Delivery focused, with high energy and drive, and ability to deliver through others Exceptional interpersonal skills - able to negotiate, build relationships and lead through influence Creative problem-solving skills including negotiation and conflict resolution skills Focused on results and continuous improvement High level of personal confidence, able to lead, manage change through influence and persuasion and inspire others Ability to navigate complex environments and manage multiple stakeholders Credibility, professionalism and strong personal integrity Likely to have a well-rounded Legal or Financial Planning background within a business development context Professional qualifications for Investment management or Financial Planning as relevant Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. Similar Jobs (1) Head of Corporate & Entrepreneurs Business Development locations London time type Full time posted on Posted Yesterday time left to apply End Date: May 30, 2025 (19 days left to apply)
May 11, 2025
Full time
Head of Business Development page is loaded Head of Business Development Apply locations London time type Full time posted on Posted Yesterday time left to apply End Date: May 30, 2025 (19 days left to apply) job requisition id R4069 About the Business Quilter Cheviot has been the wealth manager of choice for individuals and families for over 250 years, and today is one of the UK's largest wealth management firms offering expert discretionary investment management and financial advice through our sister company, Quilter Cheviot Financial Planning. We offer a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. We are part of Quilter plc, a leading provider of advice, investment platforms, multi-asset investment solutions and discretionary fund management which is listed on the London and Johannesburg stock exchanges and manages over £111.6 billion of client investments (as at March 2024). If you want to play a part in shaping the future of our business, bringing new ideas and challenge then now is a great time to join us. About the Role Level: 6 Department: Distribution Location: London Contract: Permanent In this highly visible role, you will act as an essential bridge between Quilter Cheviot's Investment Managers/Financial Planners and key professional services accounts. You will have extensive existing contacts and will play a key part in developing and delivering our business development plan through the identification of new relationships for Quilter Cheviot as well as strengthening existing ones with professional connections. Working with multiple stakeholders with the ability to deliver through others, the role will be key in delivering a significant part of our distribution strategy. Accountable for setting and delivering business targets and the plan associated with law firms Proactively identify professional intermediary business development opportunities, develop and monitor them, ensuring they meet client needs and support the business plan and revenue/profitability targets Identify new client opportunities to support the channel and work collaboratively and in a planned way with Proposition colleagues to deliver solutions that meet their needs Identify and deliver sales initiatives, events and PR opportunities to grow the business through law firms Identify, support and promote marketing campaigns working in partnership Marketing colleagues Working closely with specialists in and outside of your team, Investment Managers and Financial Planners you will identify the optimal pitch approach, reviewing and refining the approach on an ongoing basis. You will build a small team of direct reports including specialists and sales/sales support individuals who you will develop and empower to support business growth You will develop regular, clear and effective communication and engagement with regional and London Investment Management and Financial Planning teams Consumer Duty This role will directly impact good customer outcomes by identifying the appropriate target market and ensuring that propositions distributed via law firms meet their needs. The role holder will work with proposition teams to ensure that propositions remain aligned to and appropriate for their target markets. Senior Managers & Certification Regime (SMCR) Roles A certified role managing certified employees (COP & Divorce Specialists) About You A proven track record of success in distribution, ideally working with medium and large law firms, along with experience of managing a high performing distribution team, having influenced significant business opportunities and sizeable investment levels. Commercially astute with excellent communication and presentation skills, able to engage and influence externally at all levels Confidence, drive, energy, resilience and tenacity to deliver success in a challenging business environment Strategic Influencing - through understanding and energising others Delivery focused, with high energy and drive, and ability to deliver through others Exceptional interpersonal skills - able to negotiate, build relationships and lead through influence Creative problem-solving skills including negotiation and conflict resolution skills Focused on results and continuous improvement High level of personal confidence, able to lead, manage change through influence and persuasion and inspire others Ability to navigate complex environments and manage multiple stakeholders Credibility, professionalism and strong personal integrity Likely to have a well-rounded Legal or Financial Planning background within a business development context Professional qualifications for Investment management or Financial Planning as relevant Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. Similar Jobs (1) Head of Corporate & Entrepreneurs Business Development locations London time type Full time posted on Posted Yesterday time left to apply End Date: May 30, 2025 (19 days left to apply)
Senior Data Management Professional - Data Science - Data Management Lab
Avature
Senior Data Management Professional - Data Science - Data Management Lab Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology quickly and accurately. The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness. As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices. As a valued member of our team, we'll trust you to: Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation You'll need to have a strong combination of the following: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field 3-5 years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis Strong coding skills ideally in Python and experience with SQL for data querying Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab) Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome) Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences Knowledge of financial markets and Bloomberg products is a plus Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
May 11, 2025
Full time
Senior Data Management Professional - Data Science - Data Management Lab Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology quickly and accurately. The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness. As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices. As a valued member of our team, we'll trust you to: Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation You'll need to have a strong combination of the following: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field 3-5 years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis Strong coding skills ideally in Python and experience with SQL for data querying Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab) Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome) Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences Knowledge of financial markets and Bloomberg products is a plus Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Principal Product Analyst
TripAdvisor LLC
Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. What You will do: Working as one of the leaders within the Product Analytics team and closely with the Product Pod, you will be the lead analyst responsible for driving improvement in the product, through data, analytics and insight. Lead on Experimentation and AB Testing as a key element of the role, where you will run the analysis for any tests, using our in-house system and mentor others. Product Analytics at Viator is about finding opportunities to improve customer experience, this is through many aspects but would include Funnel, Feature and Cohort Analysis. It's also about Realising those opportunities, working with the Product Pod to provide insight that drives change, either through AB Testing or Release. In supporting the Objectives and Key Results we're looking to drive, you will play a key role in creating reporting, analytics and insight views, that help the team to understand the product, the customer and commercial performance, whilst guiding others to do the same. Talking about the customer, we're not just talking about one group, so segmentation, cohorts and customer understanding are at the heart of the role. What You'll bring to the team: Significant Experience in a related analytical role, (ideal background may include Product Analyst, Data Science - Product, CRO, Digital Analytics, or Experimentation Analyst) Education: Bachelor's Degree in an analytical field (maths, economics, engineering, statistics, computer science etc) Skills - Advanced SQL, AB Testing / Experimentation, Tableau/Looker, Excel etc Proactive - ability to lead the analytics discussions, driving change, shaping approach Knowledge - ideally you will have knowledge of and worked in a Product Analytics or similar role, covering AB Testing, Conversion Optimisation, Funnel and Feature Analysis Customer Focus - having a passion for customer understanding and their experience, you will have experience of Segmentation and Cohort Analysis. Collaboration - Your previous experience will have given the opportunity to work with Product, Engineering, Design etc, as part of a Product Approach. Critical Thinking - Your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Leadership - You demonstrate the best approach to analytical problems, applying critical thinking, you lead others by example in executing best practices Perks of Working at Viator Competitive compensation packages , including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you'd like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Our Values We aspire to lead . Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious . We push beyond the usual, the known, the "that's just how it's done." We're better together . We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always . We listen, question, respond, and strive for wow moments. We strive for better, not perfect . We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
May 11, 2025
Full time
Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. What You will do: Working as one of the leaders within the Product Analytics team and closely with the Product Pod, you will be the lead analyst responsible for driving improvement in the product, through data, analytics and insight. Lead on Experimentation and AB Testing as a key element of the role, where you will run the analysis for any tests, using our in-house system and mentor others. Product Analytics at Viator is about finding opportunities to improve customer experience, this is through many aspects but would include Funnel, Feature and Cohort Analysis. It's also about Realising those opportunities, working with the Product Pod to provide insight that drives change, either through AB Testing or Release. In supporting the Objectives and Key Results we're looking to drive, you will play a key role in creating reporting, analytics and insight views, that help the team to understand the product, the customer and commercial performance, whilst guiding others to do the same. Talking about the customer, we're not just talking about one group, so segmentation, cohorts and customer understanding are at the heart of the role. What You'll bring to the team: Significant Experience in a related analytical role, (ideal background may include Product Analyst, Data Science - Product, CRO, Digital Analytics, or Experimentation Analyst) Education: Bachelor's Degree in an analytical field (maths, economics, engineering, statistics, computer science etc) Skills - Advanced SQL, AB Testing / Experimentation, Tableau/Looker, Excel etc Proactive - ability to lead the analytics discussions, driving change, shaping approach Knowledge - ideally you will have knowledge of and worked in a Product Analytics or similar role, covering AB Testing, Conversion Optimisation, Funnel and Feature Analysis Customer Focus - having a passion for customer understanding and their experience, you will have experience of Segmentation and Cohort Analysis. Collaboration - Your previous experience will have given the opportunity to work with Product, Engineering, Design etc, as part of a Product Approach. Critical Thinking - Your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Leadership - You demonstrate the best approach to analytical problems, applying critical thinking, you lead others by example in executing best practices Perks of Working at Viator Competitive compensation packages , including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you'd like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Our Values We aspire to lead . Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious . We push beyond the usual, the known, the "that's just how it's done." We're better together . We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always . We listen, question, respond, and strive for wow moments. We strive for better, not perfect . We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
Linuxrecruit
Principal Data Scientist
Linuxrecruit
Innovation doesn't happen by playing it safe; it comes from bold thinking, constant curiosity, and a willingness to challenge how things have always been done. That's exactly the mindset this rapidly expanding European tech company is looking for in its next Principal Data Scientist. As they continue to scale off the back of real success, their mission is clear: make AI more accessible and impactful for businesses everywhere. Their intelligent products help organisations tap into the power of data to drive smarter decisions, uncover hidden opportunities, and transform operations, and you'll play a key role in making that happen. In this role, you'll be responsible for leading a talented team of data scientists and ML engineers, helping to architect, build, and refine intelligent systems from the ground up. Guiding them through the entire AI product lifecycle, from ideation and experimentation to production deployment and performance monitoring. Setting high standards while creating space to learn and grow through trial and iteration. You'll bring a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether that's deep learning, statistical modelling, or classical ML methods. Your toolkit includes Python, SQL, and you're comfortable working in a cloud-first (AWS) ecosystem. Experience with object-oriented programming and packaging is important, as is a mindset geared toward scalable, clean, and reproducible code. You'll lead multiple cross-functional projects, oversee resource planning, and ensure your team is both productive and inspired. Whether it's brainstorming new ideas in person or collaborating remotely, you'll be part of a culture that encourages experimentation, iteration, and creative freedom. If you're looking for a role where your leadership can directly influence cutting-edge AI solutions, and you like the sound of failing fast, fixing faster, and learning even faster, we'd love to hear from you. This is your chance to join a mission-driven team using data science to shape the future, today.
May 11, 2025
Full time
Innovation doesn't happen by playing it safe; it comes from bold thinking, constant curiosity, and a willingness to challenge how things have always been done. That's exactly the mindset this rapidly expanding European tech company is looking for in its next Principal Data Scientist. As they continue to scale off the back of real success, their mission is clear: make AI more accessible and impactful for businesses everywhere. Their intelligent products help organisations tap into the power of data to drive smarter decisions, uncover hidden opportunities, and transform operations, and you'll play a key role in making that happen. In this role, you'll be responsible for leading a talented team of data scientists and ML engineers, helping to architect, build, and refine intelligent systems from the ground up. Guiding them through the entire AI product lifecycle, from ideation and experimentation to production deployment and performance monitoring. Setting high standards while creating space to learn and grow through trial and iteration. You'll bring a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether that's deep learning, statistical modelling, or classical ML methods. Your toolkit includes Python, SQL, and you're comfortable working in a cloud-first (AWS) ecosystem. Experience with object-oriented programming and packaging is important, as is a mindset geared toward scalable, clean, and reproducible code. You'll lead multiple cross-functional projects, oversee resource planning, and ensure your team is both productive and inspired. Whether it's brainstorming new ideas in person or collaborating remotely, you'll be part of a culture that encourages experimentation, iteration, and creative freedom. If you're looking for a role where your leadership can directly influence cutting-edge AI solutions, and you like the sound of failing fast, fixing faster, and learning even faster, we'd love to hear from you. This is your chance to join a mission-driven team using data science to shape the future, today.
Advisory Readiness Lead - Strategic Advice Technology
Quilter Plc
Advisory Readiness Lead - Strategic Advice Technology Advisory Readiness Lead - Strategic Advice Technology Apply locations London Southampton time type Full time posted on Posted 2 Days Ago time left to apply End Date: January 10, 2025 (13 days left to apply) job requisition id R4114 About the Business Quilter plc is a leading provider of financial advice, investments and wealth management, committed to being the UK's best wealth manager for clients and their advisers. Quilter oversees £116.2 billion in customer investments (as of 30 September 2024). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us! About the Role Level - Level 6 Department- Finance Location - London or Southampton Contract - Permanent In this role you will be a key member of the leadership team for one of Quilter's priority initiatives, namely, to transform how our advice businesses operate. The main goal of this role is to ensure the successful delivery and achievement of target outcomes for a key strategic programme workstream. Key responsibilities include: Accountable for the ongoing management of the programme adviser engagement strategy. Responsible for leading the interaction and management between the programme and Advisers. Accountable for delivery against the programme workstream plan in line with agreed budgets and priorities. Supporting the programme to deliver the targeted business benefits. Responsible to be a figurehead for the programmes with distribution. Be highly visible both externally and internally in communicating programme vision, changes and delivery. Responsible to champion advisers' requirements and promote the benefits to advisers from the programme delivery. Developing and coaching resources assigned to the project, providing input into performance reviews and support to expand their capabilities and skillset. Responsible for the definition, design and set up of a revised and optimised strategic advice process for utilisation by QFP and QFA. Accountable for ensuring that the expected technology capability to be delivered by the programme is maximised in the Advisory processes. Supporting the other workstreams within ATP ensuring appropriate services and solutions are proposed, planned and delivered in alignment with the defined programme outcomes. Ensuring programme delivery is aligned to and delivered in accordance with Quilter policy and standards, and Community of Practice guidelines. Managing programme risks and issues ensuring that they are impact-assessed mitigated and escalated where appropriate. About You You will need strong business acumen, the ability to handle complex environments, and manage senior stakeholders. You should be delivery-focused, make agile decisions, and balance multiple tasks and initiatives within strict deadlines. Key skills and experience include: Experience of UK financial advisers and processes. Extensive technical knowledge of financial planning and investment management products, services, pricing, and value. Exceptional leadership capabilities, with a proven track record of inspiring and engaging teams to transform. Strong interpersonal skills and be able to negotiate, build relationships and lead through influence. Advice qualifications and front office experience. Product and/or proposition management experience. Effectively lead multiple projects, ensuring clear progress updates, and quickly handling any risks or issues. It also includes developing the team and managing external consultants and partners. Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only. In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. Flexible Working At Quilter, we believe our workplace needs to work for you, and we want to enable that by creating an environment where you can balance a successful career with your commitments and interests outside of work. Some roles lend themselves to flexible options more than others, so our talent acquisition team are on hand to discuss your needs. Please contact us. About Us Our purpose is to help the generations today and tomorrow to prosper. That means we must guide people through the complexity of planning for their future, with the right financial advice and investment solutions, so that they can have more secure financial futures. In this ever-changing world, we see that our role in society has never been more meaningful, and we are committed to using our expertise and care to guide our customers through these challenging and unprecedented times. Our impressive talents and capabilities set us apart, but our unwavering commitment to our customers is what defines us. We truly believe that we have all the ingredients to be the very best in our industry, and we want great people with the care and creativity that we need, to help us get there. Quilter is committed to treating all our job applicants fairly and with respect. Our people come from all kinds of backgrounds, and have a wide range of expertise, so we welcome your application regardless of your beliefs, culture, gender identity, ethnicity, sexual orientation and or disability. Please contact the talent acquisition team if you need any reasonable adjustments made to the recruitment process, require information in an alternative format or have any questions around accessibility, we will try our very best to accommodate.
May 11, 2025
Full time
Advisory Readiness Lead - Strategic Advice Technology Advisory Readiness Lead - Strategic Advice Technology Apply locations London Southampton time type Full time posted on Posted 2 Days Ago time left to apply End Date: January 10, 2025 (13 days left to apply) job requisition id R4114 About the Business Quilter plc is a leading provider of financial advice, investments and wealth management, committed to being the UK's best wealth manager for clients and their advisers. Quilter oversees £116.2 billion in customer investments (as of 30 September 2024). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us! About the Role Level - Level 6 Department- Finance Location - London or Southampton Contract - Permanent In this role you will be a key member of the leadership team for one of Quilter's priority initiatives, namely, to transform how our advice businesses operate. The main goal of this role is to ensure the successful delivery and achievement of target outcomes for a key strategic programme workstream. Key responsibilities include: Accountable for the ongoing management of the programme adviser engagement strategy. Responsible for leading the interaction and management between the programme and Advisers. Accountable for delivery against the programme workstream plan in line with agreed budgets and priorities. Supporting the programme to deliver the targeted business benefits. Responsible to be a figurehead for the programmes with distribution. Be highly visible both externally and internally in communicating programme vision, changes and delivery. Responsible to champion advisers' requirements and promote the benefits to advisers from the programme delivery. Developing and coaching resources assigned to the project, providing input into performance reviews and support to expand their capabilities and skillset. Responsible for the definition, design and set up of a revised and optimised strategic advice process for utilisation by QFP and QFA. Accountable for ensuring that the expected technology capability to be delivered by the programme is maximised in the Advisory processes. Supporting the other workstreams within ATP ensuring appropriate services and solutions are proposed, planned and delivered in alignment with the defined programme outcomes. Ensuring programme delivery is aligned to and delivered in accordance with Quilter policy and standards, and Community of Practice guidelines. Managing programme risks and issues ensuring that they are impact-assessed mitigated and escalated where appropriate. About You You will need strong business acumen, the ability to handle complex environments, and manage senior stakeholders. You should be delivery-focused, make agile decisions, and balance multiple tasks and initiatives within strict deadlines. Key skills and experience include: Experience of UK financial advisers and processes. Extensive technical knowledge of financial planning and investment management products, services, pricing, and value. Exceptional leadership capabilities, with a proven track record of inspiring and engaging teams to transform. Strong interpersonal skills and be able to negotiate, build relationships and lead through influence. Advice qualifications and front office experience. Product and/or proposition management experience. Effectively lead multiple projects, ensuring clear progress updates, and quickly handling any risks or issues. It also includes developing the team and managing external consultants and partners. Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only. In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. Flexible Working At Quilter, we believe our workplace needs to work for you, and we want to enable that by creating an environment where you can balance a successful career with your commitments and interests outside of work. Some roles lend themselves to flexible options more than others, so our talent acquisition team are on hand to discuss your needs. Please contact us. About Us Our purpose is to help the generations today and tomorrow to prosper. That means we must guide people through the complexity of planning for their future, with the right financial advice and investment solutions, so that they can have more secure financial futures. In this ever-changing world, we see that our role in society has never been more meaningful, and we are committed to using our expertise and care to guide our customers through these challenging and unprecedented times. Our impressive talents and capabilities set us apart, but our unwavering commitment to our customers is what defines us. We truly believe that we have all the ingredients to be the very best in our industry, and we want great people with the care and creativity that we need, to help us get there. Quilter is committed to treating all our job applicants fairly and with respect. Our people come from all kinds of backgrounds, and have a wide range of expertise, so we welcome your application regardless of your beliefs, culture, gender identity, ethnicity, sexual orientation and or disability. Please contact the talent acquisition team if you need any reasonable adjustments made to the recruitment process, require information in an alternative format or have any questions around accessibility, we will try our very best to accommodate.
Senior AI Product Manager
Pipedrive
UK, London - Product Management - Hybrid We're looking for an experienced Senior AI Product Manager, for the AI team, to accelerate delivery and amplify customer value in our Platform department. We believe it takes great people to create a great product. That's why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. We're looking for a talented Senior AI Product Manager to join our AI team. You will play a key role in advancing Pipedrive's AI-first vision by discovering, planning and delivering the roadmap for our AI/ML platform. Your mission will be to deliver cross-platform solutions and supporting cross-functional initiatives by enabling faster development of AI-powered features and experiences for our customers-through enhanced developer experience, scalability, cost-efficiency, reliability, and compliance. If you're someone with strong user empathy, deep understanding of AI technologies, hands-on experience in AI/ML product development, and a collaborative mindset-who thrives on data-driven decision-making and is eager to learn about customer needs to build innovative, scalable solutions-we'd love to meet you! Your new adventure: Develop, own, and execute the AI/ML platform roadmap and strategy, ensuring alignment with company goals and vision by collaborating closely with leadership and cross-functional stakeholders Stay at the forefront of emerging AI and ML trends, tools, and technologies, assessing their potential application and competitive impact to proactively shape product strategy and innovation Partner closely with data teams to define, implement, and continuously refine the data strategy-ensuring high-quality data availability, accessibility, governance, and compliance to power robust AI models Maintain a customer-obsessed mindset by continuously learning about user needs, empathising with and advocating for customers, mastering data usage, and staying updated on competitor landscapes Monitor product performance - Set and track product performance metrics to identify areas for improvement and make data-driven decisions Manage the product backlog - Ensure that it is prioritized effectively and that the team is working on the most valuable parts at any given time Oversee and steer the product development process, ensuring compliance with budget, scope, and project timelines Identify and manage product risks such as technical dependencies, resource constraints, and market shifts, and work with the team to mitigate these risks Collaborate in a cross-functional team with product designers, software engineers, data analysts, data scientists, ML engineers, researchers, marketing, compliance and customer-facing teams to deliver optimal solutions for customers Communicate with internal stakeholders including other product, data, sales, marketing, compliance, and customer support teams to ensure that everyone is aligned on the product vision, roadmap, and priorities. Mentor other product managers, helping them to develop their skills and product expertise Experiment, innovate and seek new ways to bring us closer to our goals Engage with and learn from top talents in the industry Does this sound like you? 3+ years of experience as a product manager or in another similar position in a technology driven field with direct exposure to AI product development Have extensive understanding of artificial intelligence, machine learning, and related technologies Thrives on challenge, constantly seeking opportunities to push boundaries, disrupt conventions, and deliver exceptional results Strong inclination towards experimentation and innovation, leveraging lean principles to test hypotheses and iterate rapidly Experience in generative research (interviews, data analysis) to uncover customer needs, product usage, and market trends The ability to work with bigger problem spaces and break them down into smaller well-defined problems and actionable steps Proven experience with effectively aligning and managing a roadmap, limiting the dependencies with other teams Great communication skills for effective collaboration, including active listening and providing relevant feedback The ability to set reasonable, relevant and measurable goals Strong planning and organizational skills, including experience working closely with cross-functional teams The ability to build strong relationships with the team to deliver results Fluency in English Why Pipedrive? People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other-no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome Unlock potential - Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change We've got you - Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave-because we take care of ourselves and our people Grow with us - Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability Packed with purpose - Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status. Based on this role's access to certain data, Pipedrive may conduct a pre-employment background investigation in conjunction with your application for employment with our company. Data from such investigations will be handled in accordance with Pipedrive's Privacy Policy for Recruitment. If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application. Seems like the right job for you? Join our team and be part of the success story
May 11, 2025
Full time
UK, London - Product Management - Hybrid We're looking for an experienced Senior AI Product Manager, for the AI team, to accelerate delivery and amplify customer value in our Platform department. We believe it takes great people to create a great product. That's why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. We're looking for a talented Senior AI Product Manager to join our AI team. You will play a key role in advancing Pipedrive's AI-first vision by discovering, planning and delivering the roadmap for our AI/ML platform. Your mission will be to deliver cross-platform solutions and supporting cross-functional initiatives by enabling faster development of AI-powered features and experiences for our customers-through enhanced developer experience, scalability, cost-efficiency, reliability, and compliance. If you're someone with strong user empathy, deep understanding of AI technologies, hands-on experience in AI/ML product development, and a collaborative mindset-who thrives on data-driven decision-making and is eager to learn about customer needs to build innovative, scalable solutions-we'd love to meet you! Your new adventure: Develop, own, and execute the AI/ML platform roadmap and strategy, ensuring alignment with company goals and vision by collaborating closely with leadership and cross-functional stakeholders Stay at the forefront of emerging AI and ML trends, tools, and technologies, assessing their potential application and competitive impact to proactively shape product strategy and innovation Partner closely with data teams to define, implement, and continuously refine the data strategy-ensuring high-quality data availability, accessibility, governance, and compliance to power robust AI models Maintain a customer-obsessed mindset by continuously learning about user needs, empathising with and advocating for customers, mastering data usage, and staying updated on competitor landscapes Monitor product performance - Set and track product performance metrics to identify areas for improvement and make data-driven decisions Manage the product backlog - Ensure that it is prioritized effectively and that the team is working on the most valuable parts at any given time Oversee and steer the product development process, ensuring compliance with budget, scope, and project timelines Identify and manage product risks such as technical dependencies, resource constraints, and market shifts, and work with the team to mitigate these risks Collaborate in a cross-functional team with product designers, software engineers, data analysts, data scientists, ML engineers, researchers, marketing, compliance and customer-facing teams to deliver optimal solutions for customers Communicate with internal stakeholders including other product, data, sales, marketing, compliance, and customer support teams to ensure that everyone is aligned on the product vision, roadmap, and priorities. Mentor other product managers, helping them to develop their skills and product expertise Experiment, innovate and seek new ways to bring us closer to our goals Engage with and learn from top talents in the industry Does this sound like you? 3+ years of experience as a product manager or in another similar position in a technology driven field with direct exposure to AI product development Have extensive understanding of artificial intelligence, machine learning, and related technologies Thrives on challenge, constantly seeking opportunities to push boundaries, disrupt conventions, and deliver exceptional results Strong inclination towards experimentation and innovation, leveraging lean principles to test hypotheses and iterate rapidly Experience in generative research (interviews, data analysis) to uncover customer needs, product usage, and market trends The ability to work with bigger problem spaces and break them down into smaller well-defined problems and actionable steps Proven experience with effectively aligning and managing a roadmap, limiting the dependencies with other teams Great communication skills for effective collaboration, including active listening and providing relevant feedback The ability to set reasonable, relevant and measurable goals Strong planning and organizational skills, including experience working closely with cross-functional teams The ability to build strong relationships with the team to deliver results Fluency in English Why Pipedrive? People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other-no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome Unlock potential - Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change We've got you - Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave-because we take care of ourselves and our people Grow with us - Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability Packed with purpose - Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status. Based on this role's access to certain data, Pipedrive may conduct a pre-employment background investigation in conjunction with your application for employment with our company. Data from such investigations will be handled in accordance with Pipedrive's Privacy Policy for Recruitment. If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application. Seems like the right job for you? Join our team and be part of the success story
Senior Product Manager
Pipedrive
UK, London - Product Management - Hybrid We're looking for an experienced Senior Product Manager to join our team in London. We believe it takes great people to create a great product. That's why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data, and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. We're seeking a seasoned Senior Product Manager who thrives in ambiguity, drives strategic clarity, and can connect user needs with business outcomes. If you have high empathy for users, enjoy collaboration, value data-driven decision-making, and are eager to build innovative and scalable solutions, we'd love to meet you. Your new responsibilities include: Developing, owning, and executing the product roadmap and strategy, ensuring alignment with company goals by collaborating closely with leadership and stakeholders. Maintaining a customer-obsessed mindset by continuously learning about user needs, advocating for customers, mastering data usage, and staying updated on the competitive landscape. Defining success metrics upfront and continuously measuring product performance using qualitative and quantitative signals to guide decisions and improve outcomes. Managing the product backlog - ensuring it is prioritized effectively and that the team works on the most valuable problems at any given time. Identifying and managing product risks such as technical dependencies, resource constraints, and market shifts, and working with the team to mitigate these risks. Collaborating with cross-functional teams including product designers, engineers, data analysts, researchers, marketing, and customer support to deliver optimal solutions. Communicating with internal stakeholders to ensure alignment on product vision, roadmap, and priorities. Mentoring other product managers to develop their skills and expertise. Driving continuous discovery and experimentation to uncover new opportunities and create meaningful product impact. Engaging with and learning from top industry talent. Does this sound like you? At least 4 years of experience as a product manager or similar role, with a proven track record of owning product areas and delivering impact. Ability to define and evolve strategic roadmaps, making smart trade-offs while minimizing dependencies across teams. Skilled at navigating complex problems and breaking them into clear, high-priority opportunities with measurable success criteria. Thrives in ambiguity and challenges - constantly seeking opportunities to push boundaries and solve meaningful problems. Experience in product discovery through lean experiments, user testing, and rapid iteration. Proficient in conducting generative research to uncover insights that shape strategy and impact. Strong planning and organizational skills, with experience in cross-functional execution from discovery to delivery. Excellent communication and collaboration skills - active listening, thoughtful feedback, and team alignment. Proactive decision-making skills, balancing speed with thoughtful trade-offs. Fluency in product analytics tools (e.g., Amplitude) for insights, validation, and prioritization. Experience influencing without authority and aligning stakeholders around a shared vision. Fluent in English and comfortable in a fast-paced, international environment. Why Pipedrive? People-first culture: Be part of a team that values authenticity, collaboration, and diversity, fostering an inclusive environment where different perspectives fuel our ideas. Unlock potential: Push boundaries, take ownership, and experiment with the latest technologies as we advance our AI-first vision. We've got you: Enjoy flexible hours, wellness perks, bonuses, paid leave, well-being days, and other benefits that support your health and work-life balance. Grow with us: Through mentorship, coaching, and internal mobility, we invest in your growth with honest feedback and clear communication. Packed with purpose: Contribute to helping over 100,000 small and medium-sized businesses grow and succeed through meaningful, customer-driven work. Pipedrive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Based on this role's access to certain data, Pipedrive might conduct a pre-employment background check in line with our Privacy Policy for Recruitment. If interested, please send your resume (in English) or LinkedIn profile link, along with why we should pay extra attention to your application. Ready to join us? Become part of our success story today.
May 10, 2025
Full time
UK, London - Product Management - Hybrid We're looking for an experienced Senior Product Manager to join our team in London. We believe it takes great people to create a great product. That's why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data, and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. We're seeking a seasoned Senior Product Manager who thrives in ambiguity, drives strategic clarity, and can connect user needs with business outcomes. If you have high empathy for users, enjoy collaboration, value data-driven decision-making, and are eager to build innovative and scalable solutions, we'd love to meet you. Your new responsibilities include: Developing, owning, and executing the product roadmap and strategy, ensuring alignment with company goals by collaborating closely with leadership and stakeholders. Maintaining a customer-obsessed mindset by continuously learning about user needs, advocating for customers, mastering data usage, and staying updated on the competitive landscape. Defining success metrics upfront and continuously measuring product performance using qualitative and quantitative signals to guide decisions and improve outcomes. Managing the product backlog - ensuring it is prioritized effectively and that the team works on the most valuable problems at any given time. Identifying and managing product risks such as technical dependencies, resource constraints, and market shifts, and working with the team to mitigate these risks. Collaborating with cross-functional teams including product designers, engineers, data analysts, researchers, marketing, and customer support to deliver optimal solutions. Communicating with internal stakeholders to ensure alignment on product vision, roadmap, and priorities. Mentoring other product managers to develop their skills and expertise. Driving continuous discovery and experimentation to uncover new opportunities and create meaningful product impact. Engaging with and learning from top industry talent. Does this sound like you? At least 4 years of experience as a product manager or similar role, with a proven track record of owning product areas and delivering impact. Ability to define and evolve strategic roadmaps, making smart trade-offs while minimizing dependencies across teams. Skilled at navigating complex problems and breaking them into clear, high-priority opportunities with measurable success criteria. Thrives in ambiguity and challenges - constantly seeking opportunities to push boundaries and solve meaningful problems. Experience in product discovery through lean experiments, user testing, and rapid iteration. Proficient in conducting generative research to uncover insights that shape strategy and impact. Strong planning and organizational skills, with experience in cross-functional execution from discovery to delivery. Excellent communication and collaboration skills - active listening, thoughtful feedback, and team alignment. Proactive decision-making skills, balancing speed with thoughtful trade-offs. Fluency in product analytics tools (e.g., Amplitude) for insights, validation, and prioritization. Experience influencing without authority and aligning stakeholders around a shared vision. Fluent in English and comfortable in a fast-paced, international environment. Why Pipedrive? People-first culture: Be part of a team that values authenticity, collaboration, and diversity, fostering an inclusive environment where different perspectives fuel our ideas. Unlock potential: Push boundaries, take ownership, and experiment with the latest technologies as we advance our AI-first vision. We've got you: Enjoy flexible hours, wellness perks, bonuses, paid leave, well-being days, and other benefits that support your health and work-life balance. Grow with us: Through mentorship, coaching, and internal mobility, we invest in your growth with honest feedback and clear communication. Packed with purpose: Contribute to helping over 100,000 small and medium-sized businesses grow and succeed through meaningful, customer-driven work. Pipedrive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Based on this role's access to certain data, Pipedrive might conduct a pre-employment background check in line with our Privacy Policy for Recruitment. If interested, please send your resume (in English) or LinkedIn profile link, along with why we should pay extra attention to your application. Ready to join us? Become part of our success story today.

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