726 to 750 of 1,244 Data Science Jobs

communities we are part of and for the planet.\ NAbout the role\nThe Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem.\ NWorking in close partnership with business and technology teams across Stores, Finance … People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value.\ NThis is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful ...

Manager role at a pivotal moment of organisational transformation, where analytics is central to shaping commercial strategy. You will work at the intersection of data and decision-making, influencing senior stakeholders and driving measurable business outcomes across both digital and physical channels. The Company They are a large, consumer … markets, with a strong focus on innovation, sustainability, and social impact. The business is undergoing significant transformation, with a clear ambition to embed a data-led culture across all functions. Analytics sits at the heart of this change, supported by a growing investment in data, technology, and talent. ...

experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle—from automated … Observability: Establish and own the telemetry framework for the AI stack. Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy.\ NFinOps & Cost Management: Own the strategy for AI cloud spend. Build monitoring and alerting frameworks to track compute costs ...

independent study, attending industry‐leading conferences, experimentation and participation in knowledge‐sharing community. Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid background … outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, focusing on agentic systems and LLM evaluation. 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 ...

price optimisation analysis and modelling using advanced techniques. Develop customer propensity and Lifetime Value (LTV) models. Build and maintain sophisticated pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms … e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking ...

ability to navigate ambiguity, shape direction, and translate innovation into meaningful outcomes for Swift and its community. Experience and Background 10+ years in data, analytics, or AI roles, with at least 3–5 years at a senior or leadership level. Demonstrated experience setting AI or analytics strategy … modern AI and ML approaches including classical ML, large language models, and agentic systems, with sound judgment on when each is appropriate. Understanding of data infrastructure fundamentals – pipelines, governance, and data quality – as a prerequisite to realizing AI value at scale. Preferred Qualifications Deep familiarity with regulated ...

Head of R&D - Sensing Science Location: Dagenham, Essex (2-3 days onsite) Salary: £80,000-£90,000 + benefits Type: Permanent An innovative, venture-backed technology company developing next-generation intelligence and sensing systems is seeking a Head of R&D to lead its sensing strategy and scientific … This is a senior technical leadership role for an expert in sensing technologies who can bridge the gap between scientific research, product development and data-driven decision making. You'll work closely with engineering, firmware, software and data science teams to define how sensors are selected, tested ...

foster a collaborative environment where your ideas drive progress, and your growth is our priority. As part of Client360, you'll help unify client data and deliver enterprise-wide insights, supporting business transformation and operational excellence.\ NAs a Product Senior Associate in Data, Digital & AI, you will help … support the delivery of priority initiatives that improve operational effectiveness and business adoption. You partner with product, technology, and business leaders to implement data- and AI-enabled commercial solutions for executives, team leads, and frontline bankers. Your work helps define the business experience, focusing on process optimization, data ...

front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams …/CD pipelines, Distributed, and Concurrent Systems.\ N\n Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.\ N\n Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing ...

foster a collaborative environment where your ideas drive progress, and your growth is our priority. As part of Client360, you'll help unify client data and deliver enterprise-wide insights, supporting business transformation and operational excellence. \n As a Product Senior Associate in Data, Digital & AI, you will … support the delivery of priority initiatives that improve operational effectiveness and business adoption. You partner with product, technology, and business leaders to implement data- and AI-enabled commercial solutions for executives, team leads, and frontline bankers. Your work helps define the business experience, focusing on process optimization, data ...

hiring an experienced product manager into an established AI team, to own a product surface and drive it toward agentic workflows. The company delivers data and analytics for institutional finance, trusted by leading banks and asset managers. AI here isn't a bolt-on. It's the core … delivery for a core AI product surface. Build agentic features: multi-step reasoning, tool orchestration, autonomous task completion. Partner daily with ML engineers and data scientists on probabilistic systems. Use the team's LLM-as-judge and SME evaluation cycles to hold output quality. Interrogate model outputs and usage ...

Senior Data Analyst London - hybrid 2-3x a week Up to £55,000 This is a strong opportunity for a Lead Data Analyst to step into a high-impact role within a fast-growing data and advertising technology environment. You will play a key part … with agencies and brands to improve campaign performance, win new business, and drive better marketing outcomes through data. With a multidisciplinary team of analysts, data scientists and engineers, they are focused on innovation across the full lifecycle of advertising campaigns. Their environment encourages collaboration, learning, and continuous improvement. ...

Join our global Quantitative Trading & Research (QTR) team, where you’ll apply your expertise in Derivatives Modelling, Financial Engineering, Data Science, and Quantitative Development. As part of JP Morgan’s leading QTR Group, you’ll innovate with unique analytics and mathematical models, enhancing business practices through automation. … technical direction and partner closely with the Margin Trading desk, Technology, and Product Development to ship high-impact solutions. You will also shape our data-led strategy by applying state-of-the-art machine learning to transform risk management and automation across the investment bank. Job Responsibilities Own delivery ...

solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About the team: You will be part … team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced ...

motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with … solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel ...

technical leadership role Strong expertise in Python Experience with modern frameworks and engineering tools Strong AWS/cloud experience (AWS preferred) Experience with Data Platforms, ETLs, or Data Science environments Excellent communication and stakeholder management skills A proactive mindset with strong problem-solving ability Tech Environment Python … Cloud Modern frontend/backend frameworks DevOps & CI/CD tooling Data platforms and scalable architectures Location Hybrid – West London, Hounslow (2 days per week onsite) Why Join? Highly competitive salary package Private medical insurance Join a fast-growing, innovative technology environment Work alongside a collaborative and multicultural team ...

will lead the design of conversational and AI-powered experiences across customer and colleague journeys. You'll work at the intersection of Design, Product, Data, Engineering, and AI, helping shape how users interact with intelligent systems while ensuring experiences are intuitive, trustworthy, and outcome-focused. Key Responsibilities Design … dialogue strategies that create seamless user experiences. Translate complex customer and business requirements into intuitive conversational experiences. Collaborate closely with Product Managers, Engineers, Data Scientists, and AI teams throughout the product lifecycle. Use customer research, behavioural insights, and analytics to identify opportunities for optimisation and innovation. Establish best practices ...

well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. … group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs ...

residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital You will confidently operate and explain the various model process updates related to data, modelling assumptions, modelling techniques, business forecasts and policy assessments, etc, to ensure a comprehensive understanding of your work and the model outcomes across … variety of stakeholders You will have an effective understanding of the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the models, delivering challenge and communication required to close the gap between the models and Asset Risk deliverables You will support the Modelling Lead ...

engineering.\ NUse best practices (e.G., MLOps, AIOps) to improve products/services and processes related to AI.\ NOptimise existing model serving and data pipelines to meet changing performance and security requirements.\ NHold requirements gathering sessions with business stakeholders and data science teams.\ NLead functional projects or work … Copilot or similar platforms (e.G., Kiro, Cursor) to enhance productivity and code generation.\ NKnowledge of or experience with MCP to integrate LLMs with external data sources and tools\ N\nAt JET, this is on the menu:\ NOur teams forge connections internally and work with some of the best-known ...

engineering. \n Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. \n Optimise existing model serving and data pipelines to meet changing performance and security requirements. \n Hold requirements gathering sessions with business stakeholders and data science teams. \n Lead … similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. \n Knowledge of or experience with MCP to integrate LLMs with external data sources and tools \n\n At JET, this is on the menu: \n Our teams forge connections internally and work with some of the best ...

causal inference to distinguish genuine impact from correlation? Have you applied propensity methods or counterfactual modelling to customer or product data? Would you like to help move an established Data Science team from prediction into causality? A major global consumer technology business is hiring a Data … genuine depth in causal inference methods • Experience with propensity methods, Double Machine Learning, counterfactuals or related techniques • Experience working with customer or product data, ideally in a subscription-based business • Ability to build and productionise analytical solutions, rather than purely conduct research • Strong communication skills and a quantitative STEM ...

company) We are looking for an experienced Senior Test Engineer (AI) to play a key role in delivering high-quality, reliable artificial intelligence and data-driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust … improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies ...

company) We are looking for an experienced Senior Test Engineer (AI) to play a key role in delivering high-quality, reliable artificial intelligence and data-driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust … improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies ...

week) Up to £60,000 No sponsorship available This is an opportunity to take ownership of Business Intelligence capability within a fast scaling, data driven organisation. You will play a key role in shaping how data is translated into commercial insight, working across a variety of client projects … global media and analytics organisation focused on understanding what drives commercial performance. Operating across multiple international markets, they combine proprietary technology with experimentation and data science to deliver measurable results for clients. Following significant growth, they are investing in expanding their UK data capability, creating an opportunity ...