400 jobs for “data science”
University of Huddersfield Huddersfield
A professorial appointment to lead AI research, build capacity and external funding, and coordinate the REF 2029 Unit of Assessment. The role also involves shaping the taught AI curriculum and mentoring research students within an interdisciplinary computing and engineering school.
Faculty London
Scoping, building and delivering bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, workflow design and close collaboration with data science and ML experts, with a focus on high-stakes, user-centric decision-making.
Faculty London
Lead end-to-end delivery of complex AI and data science projects for UK government national security clients, acting as a commercial and delivery lead who bridges technical AI research and operational mission needs. The role involves building trusted relationships with government partners, writing proposals and responding to RFPs to unlock new AI use cases, and mentoring multidisciplinary teams. Distinct for its focus on high-stakes national security and AI safety work, with eligibility for UK Developed Vetting and occasional on-site client work.
PhysicsX New York, United States US$150,000 – US$250,000 pa
Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering and physics challenges into product opportunities, tracking engagement and measuring value. Based in Manhattan with hybrid remote flexibility.
University of West London London £18,000 pa
Develops an AI-enabled decision-support framework combining building-performance simulation, machine learning, GIS and remote sensing to optimise green roofs and façades for energy, carbon and thermal performance. Primarily computational, with no routine lab or fieldwork, and scope refined with the successful candidate.
Entrust London
Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines, and mentors engineers within a squad-based team.
Entrust London
Owns a core area of the document verification platform, setting strategy and roadmap for identity document checks used in onboarding and account opening. Works with Engineering, AI/ML, Data Science, Design, Growth and Compliance to improve verification accuracy, conversion, operational efficiency and fraud prevention, using experimentation and analytics.
Anthropic London £265,000 – £375,000 pa
Paid, fixed-term research residency of six weeks to six months for people transitioning into empirical AI safety work, with a scoped project and direct mentorship from Anthropic researchers. Residents get access to Claude models and GPU compute and work on areas such as scalable oversight, interpretability, adversarial robustness, AI control, safeguards, and frontier red-teaming.
PhysicsX New York, United States US$150,000 – US$190,000 pa
Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.
CrowdStrike London
A 12-week summer internship focused on red teaming, shadowing live engagements and running a simulated red team exercise against a lab environment to find vulnerabilities. Interns also work with the red team's development team on a tooling or process improvement project, presenting findings to mentors in simulated client interactions.
CrowdStrike Reading
A 12-week summer internship focused on red teaming, shadowing live engagements and running a simulated red team exercise against a lab environment to find vulnerabilities. Interns also work with the red team's development team on a tooling or process improvement project, presenting findings to mentors.
Anthropic London £150,000 – £190,000 pa
Pre-sales architect role building technical relationships with Global and Regional System Integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.
UCL London £68,284 – £76,244 pa
Develops and leads an AI-driven research programme in biomolecular design and molecular interactions, combining structural biology, biophysics and machine learning to model protein–ligand, protein–protein and protein–nucleic acid systems. Teaches computational biology and biomolecular design at undergraduate and postgraduate level, including a new cross-division MRes in AI for Bioscience, within UCL's Research Department of Structural & Molecular Biology.
Isomorphic Labs Cambridge, United States
Designs and leads in vitro and cellular pharmacology strategies for small-molecule drug discovery programmes, defining screening cascades and overseeing biophysical, biochemical and cell-based assays. Works closely with AI/ML, medicinal chemistry, structural biology and in vivo teams, and manages external CRO activities to link computational predictions with laboratory validation. Some roles include line management of 2-3 scientists.
Tech Recruitment Specialists Ltd London £38,000 – £45,000 pa
Supports the development, optimisation and deployment of AI and machine learning models, working with large datasets for preprocessing and training, and helping monitor AI applications in production. Collaborates with software engineers, product teams and data specialists, contributes to backend development and API integrations, and researches new AI frameworks. Emphasis on responsible, ethical AI with bias mitigation, transparency and fairness.
