1,176 to 1,200 of 2,167 Data Science Jobs

located near one of our main hubs, we offer a monthly co‐working stipend. About the role We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real‐world product data into reliable … build the processes and infrastructure to continuously assess how those models perform in production. This is a hands‐on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into ...

Aufgaben End-to-end development, deployment, and optimization of robust Machine Learning models that generate measurable business impact Identification of new opportunities through advanced data analysis and translation of complex insights into actionable strategies that drive sports betting business value Acting as a trusted partner to cross-functional stakeholders … enabling data-driven decision-making and delivering innovative solutions into production Continuous evaluation, adoption, and application of emerging technologies, statistical methodologies, and Machine Learning algorithms Profil Completed higher education (FH, university degree, or equivalent) in a relevant field Minimum of 3 years of professional experience in Data Science ...

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 ...

Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data and translate findings into actionable ...

Halliburton in Abingdon, Oxfordshire, is seeking an experienced Geoscientist with a data science background to join the customer data integration team. Based in Abingdon, you will contribute to shaping workflows and data strategies for subsurface interpretation. You will collaborate across disciplines, stay current with AI/… trends, and help advance customer data initiatives within our R&D environment. Hybrid work with 3 days in the office. #J-18808-Ljbffr ...

Defence and National Security sector. This role is pivotal in shaping the next generation of mission-critical capabilities, integrating cutting-edge Cloud-native architectures, Data-driven decision-making tools, and Artificial Intelligence (AI) into robust, safety-critical environments. The successful candidate will act as a technical bridge between strategic … integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. Systems Thinking: Utilise holistic systems thinking to influence, shape, and de-risk complex customer problems, particularly ...

Quant Analyst to join their growing Sustainable Investment team. This is a unique opportunity for someone with a passion for sustainability and data science to help drive innovation in responsible investing. You'll play a key role in developing the firm's ESG research, analytical tools and proprietary … development of scalable research processes, analytical models and AI-enabled tools that enhance stewardship and ESG decision-making Help identify new sources of ESG data and innovative analytical techniques that improve research quality and investment outcomes Candidate Profile: 1-3 years of relevant work experience on the buy-side ...

Advisor SIEM Engineering provides new and enhanced SIEM (Security Information and Event Management) system and tooling capability for the CSOC, including deploying feeds from data sources, building cyber detection capability, improving the automation of security monitoring and managing the SIEM environment. Main duties of the job The Security Advisor … SIEM Engineering is responsible for: Deploying feeds from data sources into NHS England's SIEM system and ensuring compliance with the SIEM's data modelling, for both newly developed services and existing services being updated. Maintaining the SIEM data feed infrastructure to ensure the timely delivery ...

This role offers the chance to build reusable components that help teams adopt AI consistently and effectively. You will partner closely with Technology and data science teams to deliver solutions that meet enterprise standards. If you enjoy moving from prototype to production while staying close to end users … this role is for you. As a Business Enablement Vice President in the Chief Data & Analytics Office, you will embed with Markets, Banking and Payments teams to understand day‐to‐day workflows and deliver working AI solutions quickly using internal tooling. You will translate domain needs into clear technical ...

days remote Salary: Highly competitive salary + comprehensive benefits Requirements You will have a Ph.D from a world-leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine … Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities Join a team responsible for investigating the latest research in machine learning algorithms – largely within ...

consistently looking for bright, creative professionals with diverse perspectives and backgrounds. Where you come in: We are seeking an experienced and adaptable Senior Data Scientist , with strong ML Engineering skills , to join a nimble and best-in-class data team at The Beatport Group. The role will report … models. Initial workstreams will likely include: Content Recommendation and Personalisation Search Optimisation Audio Modelling You will play a crucial role in transforming our data into genuinely useful product features that empower artists and connect DJs with the music that they love. The ideal candidate will have 4-5 years ...

This role offers the chance to build reusable components that help teams adopt AI consistently and effectively. You will partner closely with Technology and data science teams to deliver solutions that meet enterprise standards. If you enjoy moving from prototype to production while staying close to end users … this role is for you. As a Business Enablement Vice President in the Chief Data & Analytics Office, you will embed with Markets, Banking and Payments teams to understand day‐to‐day workflows and deliver working AI solutions quickly using internal tooling. You will translate domain needs into clear technical ...

across all business areas Own end to end delivery: scope the work with team stakeholders, build it, test it against their data, and see it through to live running Use AI tools such as Claude Code, Open AI Codex, AI enabled IDEs to deliver solutions rapidly into the business … Build bespoke integrations, data pipelines, and user-facing tools Feed learnings from the field back into our core product, shaping the roadmap with first-hand evidence Your Profile: Essential: Engineering background, preferably in the Computer Science, Mathematics, Software Engineering, Physics, and Data Science fields. 3+ years ...

Marshmallow in London is seeking a Pricing Data Scientist to own pricing initiatives and build in-house models. You will work in a team of pricing data scientists and analysts, deploying pricing projects and exploring innovative data sources. You will collaborate across data science, engineering ...

summary Digital Operations and Service Management (DOSM) sits within the Technology Digital and Data Directorate of the new NHS England. The Technology Digital and Data Directorate vision is to deliver the best care and outcomes for the NHS and people that it serves, by improving population health … patient pathways, rapidly adopting effective technologies, building on insights from data and cutting-edge research, and by transforming the way that care is delivered. DOSM operates and manages business critical infrastructure, and digital and data services, that underpin the health and social care system. We ensure the highest ...

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 ...

clinical judgement to work with stakeholders to develop ML and agentic systems to drive transparent and actionable recommendations. You’ll integrate multi‐source data - historical trials and scientific datasets into production systems to improve the process of designing clinical trials and increase their probability of success. … know why a particular Phase II endpoint gets chosen, what makes an inclusion criterion unworkable at site level, or how messy real-world data actually is when you try to use it — and you have since started teaching yourself to build with Python, ML and LLMs — you are exactly ...

solutions. Use AI to broaden reach, engagement, and utilisation across our services. Identify opportunities to drive efficiency through AI across the wider business. Optimise data chunking and text embeddings for semantic search performance across a large, highly specialist text corpus. Track the competitive landscape and stay ahead of advances … identify optimisation opportunities, reporting findings to stakeholders. Educate and mentor engineering staff and the broader business. What You'll Bring Degree in computer science, AI, machine learning, or a related STEM field. Strong leader, able to communicate clearly at all levels. Track record deploying business critical ML models ...

depop.com. For any other non-disability related questions, please reach out to our Talent Partners. Role We’re looking for a Staff Backend Engineer – Data Platform to be a key technical leader within the teams responsible for Depop’s data platform. You’ll drive the technical vision … implementation for our foundational data platform — from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure ...

Worky is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications and pipelines behind Zula 2.0. You will work across the full stack with emphasis on backend data processing, analytics, and machine learning workflows, hosted on AWS. Zula … 2.0 is the critical path for the team through year-end. You will design pipelines, deploy ML models, and collaborate with data scientists and engineers to surface meaningful insights and scalable systems. #J-18808-Ljbffr ...

capabilities. The agency’s role is focused on brand media strategy, measurement, and optimisation - and this position sits at the centre of ensuring campaign data is credible, actionable, and actually used in planning. This is not a modelling or data science role. It is a senior analytics … leadership position for someone who can take complex campaign data, interpret outputs from advanced models, and turn them into clear insights and confident recommendations for planners and senior stakeholders. What You’ll Be Responsible For Analytics & Measurement Leadership Own weekly and post-campaign reporting across global brand media activity ...

Stott and May is seeking a Lead Product Data Scientist to drive AI, machine learning and optimisation initiatives in a hybrid West London setting. The role combines hands-on modelling with leadership of data science and engineering teams to deliver data-driven products that improve decision ...

Following our acquisition of Statsig, we now offer one of the most comprehensive experimentation and product analytics platforms on the market. As an Customer Data Scientist, you will combine deep experimentation expertise, applied statistics, and customer-facing technical consulting to help some of the world's most sophisticated product … statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the company and Statsig platforms. As an Customer Data Scientist, you will: Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept. Partner directly with ...

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting We’re looking for a full-stack Python engineer to join … keep pace without relying solely on headcount growth. We make intelligent, pragmatic use of AI where it adds real value, working closely with Product, Data Science and Analytics to deploy solutions that genuinely support our ops agents. You’ll have real ownership from an engineering perspective, shipping features ...

Senior Data Scientist, Graph Risk Analytics Department: Engineering Employment Type: Full Time Location: London Compensation: £105,000 - £120,000/year Description Location: London, UK Annual Remuneration : £105,000 - £120,000 and discretionary annual bonus Pay Frequency : Monthly Probationary Period: 180 days Work Arrangement : Hybrid, 3-days per week … Kharon is seeking a full-time Senior Data Scientist, Graph Risk Analytics based in London. RESPONSIBILITIES: Taking ownership of Kharon's risk propagation and entity analytics system — the engine that evaluates entities in our knowledge graph and surfaces meaningful risk signals to customers Designing and implementing complex analytical logic ...