Data Science Jobs

• London
• Hybrid · 3 days in office
• £100,000 – £120,000 pa
• Director · manages people

Lead the analytics, insights and AI strategy for a major insurance claims function, acting as the strategic link between business objectives and analytics delivery. You'll partner with Claims leadership on the analytics and AI roadmap, evolve reporting towards predictive and prescriptive analytics, and lead a team of analytics professionals while championing data governance and responsible AI.

• London
• Hybrid · 3 days in office
• £90,000 – £120,000 pa
• Director · manages people

Newly created leadership role shaping how data, advanced analytics and AI transform the end-to-end claims lifecycle for a global specialty insurer. Partners with senior claims stakeholders to identify opportunities, translate business needs into data and technology initiatives, and build AI-driven and agentic solutions, while leading a small specialist analytics team.

Python · Databricks · Azure +1

• London
• Hybrid
• Lead · manages people
• Permanent

Technical leadership role owning delivery of complex machine learning and Generative AI projects for financial services clients, while setting technical direction for the data science team. Involves mentoring, contributing to bids and scoping, and publishing thought leadership, with a focus on deep individual contribution and scalable Python codebases.

Large Language Models

• London
• Hybrid
• Senior
• Permanent

Lead high-impact AI safety projects for Frontier Labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members, partner with commercial teams on scoping, and advance the science of AI evaluations through research and public speaking. Combines hands-on Python data science with project leadership in a national security and AI safety unit.

NumPy · Pandas · Inspect AI +1

• Lincoln
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

PyTorch · TensorFlow · Hugging Face Transformers +1

• Leicester
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction, stakeholder collaboration and mentoring, taking ideas from prototype through to production in a hybrid Nottingham-based team.

PyTorch · TensorFlow · Hugging Face Transformers +1

• Sydney, Australia
• Hybrid
• Entry level
• Internship

Forward Deployed Software Engineers work directly with customers to understand their hardest problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive-level strategy. Interns own end-to-end execution of high-stakes projects in small, lightly supervised teams, working with Python, Java, C++ or TypeScript.

• New York, United States
• On-site
• US$10,500 pm
• Entry level
• Internship

Interns contribute production code directly to Palantir's Gotham defense product, working across the full lifecycle from ideation and prototyping to shipping. Paired with a dedicated mentor, they build mission-critical tools like geospatial mapping and alert-triaging systems using Java, Go, TypeScript, React, and Spark.

Cassandra · Spark · Elasticsearch +5

• Ilford
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to be completed in 6-12 months around existing commitments.

Azure · Git · GitHub

• Rayleigh
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with a guaranteed job offer or a full refund of course fees.

Microsoft Azure · Git · GitHub

• Oxford
• £40,178 – £48,700 pa
• Entry level
• Contract

Develop and validate multimodal machine-learning models integrating electronic health records, laboratory, molecular, imaging and digital pathology data from large-scale NHS sources. Build reproducible pipelines for heterogeneous longitudinal data within secure environments, working with clinicians, pathologists and engineers on disease progression and treatment response prediction.

NHS Data · Electronic Health Records · Secure Data Environment +2

• London
• £68,087 pa
• Permanent

Contribute to research and teaching in data science and statistics within an established department, with expertise sought in statistics, machine learning or data science. The role expects a strong publication trajectory and a viable future research strategy, with collaboration encouraged across the School's institutes.

• Manchester
• Hybrid
• £48,337 – £59,390 pa
• Mid-level
• Contract

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing complex biological and chemical datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML expertise, training and support to computational and experimental colleagues.

• Oxford
• On-site
• £39,424 – £47,779 pa
• Entry level
• Contract

Develop novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, working with Professor Pier Palamara in the Palamara Group. Research spans genomic language models, multimodal and federated learning, and multi-trait/multi-ancestry methods applied to biobank-scale datasets for association testing, fine-mapping and polygenic prediction. The role also involves building reproducible research software, publishing, and guiding junior researchers.

• Northampton
• Entry level

Support a commercial category team as the first point of contact for a branch network and suppliers, ensuring the right product range at the right margin and maximising supplier funding. Work daily with Finance, Marketing, Supply Chain and Data, using AI and data automation to streamline processes and analyse category and customer performance.