651 to 675 of 1,100 Permanent Data Science Jobs

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. \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 ...

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 ...

being used to solve complex operational challenges. You'll develop innovative AI capabilities that directly support national security missions, working alongside highly skilled engineers, data scientists and security specialists. This is a hands-on engineering role where you'll contribute throughout the full software lifecycle, from understanding mission requirements ...

technical and non-technical stakeholders, including C‐suite leadership Run workshops, demos, hackathons and knowledge‐sharing sessions internally and externally Collaborate with architects, engineers, data scientists and commercial teams to deliver end‐to‐end AI solutions Drive AI best practices internally and help shape the wider AI capability ...

sales Senior Technical Solutions Engineer based in London, United Kingdom. In this role, you will use your technical expertise to demonstrate the Databricks Data Intelligence Platform to help customers solve complex data challenges and achieve their goals. The ideal candidate has experience in Data Science, Machine ...

will: Lead small and large multidisciplinary engagement and manage client relationship Design and develop quantitative models and analytics tools (e.g. derivatives pricing, market data methodologies, XVA, capital models, market and counterparty credit risk modelling) Provide thought leadership in quantitative methodologies, pricing techniques, risk and valuation frameworks and industry best … standards Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: Post-graduate degree in mathematical finance, science or maths from a top tier university Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office ...

embracing and leading with Agentic AI and are looking for colleagues to embed these capabilities into everyday working Familiarity with statistical concepts and data analysis techniques gained through academic study or project work Strong interpersonal, communication, and presentation ability Ability to communicate analysis results and insights effectively Time management … Moody’s Insurance Solutions Graduate Programme, you'll work with the people, teams, and companies leading the way in the use of models, data, analytics, and technology to derive relevant insights across the insurance lifecycle. Our insurance customers use our models, data, analytics, and technology to assess catastrophe ...

week. Therefore you will need to be within a sensible commutable distance to their offices. Ideally you will be hold degree in Computer Science, Information Technology, Cybersecurity, Data Science, or a related technical field, or equivalent relevant experience with demonstrable cloud platforms, particularly AWS. You will have ...

communication skills and the ability to translate complex technical detail for non technical stakeholders Fluent written and verbal English NICE TO HAVE Experience with data platforms, ETLs or data science Exposure to GCP or Azure alongside AWS WHAT'S ON OFFER Salary up to £110,000 depending ...

Description Quantum Computational Science Specialist Derby (Hybrid) Full Time Why join Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. … Performance Computers. Application areas include Quantum Linear Equation Solvers, state and matrix loading, block encoding, measurement observables and state reconstruction including machine learning and data science. The team aims to radically transform RR Engineering methods and software, applying these to emerging novel products & services. The potential of quantum computing ...

CVFine is seeking a Pre-sales Senior Technical Solutions Engineer (Data and AI) in London, United Kingdom. The role involves developing relationships with clients and assisting them with their data challenges using the Databricks platform and requires expertise in Data Science and Machine Learning. The ideal ...

Senior NLP Engineer This is a high impact Senior NLP Engineer role where you will work on complex, real world communication data at scale. You will own NLP and LLM driven products end to end, helping shape how AI is used to detect and manage risk across large enterprise … Company They are an AI driven technology business operating within compliance and security for enterprise communications. Their platform processes large volumes of multi modal data across collaboration tools to help organisations meet regulatory requirements. The business is well established, backed by major investors, and recognised for its innovation ...

first to be involved in new initiatives, from tech to customer support. We're looking for an experienced Model Governance Manager with expertise in data science and advanced analytics for the application, validation, and oversight of ML/AI models, including LLMs and generative AI. You'll challenge … What you'll be doing Establishing, maintaining, and enforcing our model risk management (MRM) framework, ensuring models comply with firmwide policies Maintaining model inventory data integrity by resolving exceptions from automated checks and managing model classifications, changes, and deactivations Partnering with the Technology team to maintain systems supporting model ...

Expedia.com Ltd. is looking for a Data Scientist III for the Analytics team. This role involves leading data science initiatives to optimize supply for global B2B partners while operating independently. Responsibilities include applying machine learning techniques, extracting and structuring data, and mentoring junior colleagues. Candidates should ...

TS. This includes supporting incumbent models and designing, building and deploying new state-of-the-art (SOTA) models. You will bring strong data science and modelling expertise, a delivery-focused mindset, and a structured, detail-oriented approach to solving complex tasks. You will also drive model tuning, contribute … manage remediation actions and findings Your skills and experience Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science) 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing ...

TS. This includes supporting incumbent models and designing, building and deploying new state-of-the-art (SOTA) models. You will bring strong data science and modelling expertise, a delivery-focused mindset, and a structured, detail-oriented approach to solving complex tasks. You will also drive model tuning, contribute … manage remediation actions and findings Your skills and experience Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science) 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing ...

Analytical Engineer Ready to turn complex data into powerful insights? Join a forward-thinking Data & AI team building cutting-edge analytics, machine learning and GenAI solutions that shape smarter business decisions. You’ll be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts … deliver cutting-edge machine learning and AI-driven solutions. Skills and experience you need as Analytical Engineer: Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid ...

building and deploying Machine Learning systems in production environments is expected as an AI Forward Deployed Engineer, including full end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment. The AI Forward Deployed Engineer will bring strong practical experience in Generative AI and modern … business problems into scalable and production-ready AI solutions. Key Skills as AI Forward Deployed Engineer: 5+ years experience in software engineering, ML engineering, data science, or AI solution delivery in enterprise environments. Proven experience building and deploying end-to-end Machine Learning pipelines in production. Strong knowledge ...