Data Science Jobs

• Loughborough
• 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

• 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

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead computational drug design programs from initiation through to clinical candidate selection, working alongside ML scientists to embed AI/ML into chemistry workflows. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Requires Python, cheminformatics and a track record of project leadership.

REINVENT · AlphaFold

• London
• Hybrid · 3 days in office
• Lead

Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with Chemistry, Pharmacology and AI/ML platform teams in a hybrid London setting.

R · Python · KNIME

• London
• £600 – £750 pd
• Mid-level
• Contract

Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and engages stakeholders to translate complex business problems into data science solutions. Retail context with scope for personalisation, recommendation and experimentation work.

• London
• Hybrid · 3 days in office
• £825 pd
• Senior
• Contract

Hands-on VP-level data scientist building generative AI, LLM/NLP and statistical modelling products end to end for a boutique investment bank's M&A and advisory bankers. Works in a small team taking prototypes into production, writing production-quality Python and explaining models to senior non-technical stakeholders. M&A experience is essential.

• London
• £80,000 – £110,000 pa

Hands-on data science role building a dedicated Claims Analytics capability for an international insurer. You will develop statistical and machine learning models for claims forecasting, triage, severity, recoveries and resource planning, working with structured and unstructured claims data alongside Claims, Underwriting, Actuarial and Technology teams.

• Newcastle upon Tyne
• £75,000 – £90,000 pa
• Mid-level

Builds forecasting models and mines large structured and unstructured datasets to produce insights that shape commercial and strategic decisions. Designs automated data pipelines, reporting and self-service visualisation tools, working closely with both technical and business stakeholders. Python, SQL, statistics and machine learning are central, with Azure and Databricks listed as desirable.

Azure · Databricks

• Newcastle upon Tyne
• £90,000 – £110,000 pa
• Mid-level

Builds forecasting models and applies statistical and machine learning techniques to large structured and unstructured datasets. Designs automated data pipelines, reporting and self-service visualisation tools, and works closely with business and technical stakeholders to turn analysis into commercial decisions. Azure and Databricks experience is desirable.

Azure · Databricks

• London
• Hybrid
• £50,000 – £65,000 pa
• Mid-level
• Permanent

Join a growing data and analytics team where you'll deliver insight supporting data-driven marketing and commercial decisions. You'll build predictive models and machine learning techniques, prepare and cleanse data from multiple sources, and translate findings into clear stories for technical and non-technical audiences.

Python · R · SQL

• Dundee
• £37,694 – £46,049 pa
• Contract

Develop and apply AI, machine learning and Bayesian statistical models to longitudinal electronic health record, retinal imaging, genomic and proteomic data to predict health outcomes and biological ageing in people with diabetes. Work across clinical and computing groups, curating data in safe havens and validating prediction models, in collaboration with Eli Lilly.

Python · SQL · R +2

• Manchester
• Hybrid
• £28,000 – £32,000 pa
• Entry level
• Permanent

A graduate-level role analysing datasets to identify trends and support the development, testing and maintenance of statistical and predictive models. You'll use Python, SQL, SAS or PySpark and machine learning techniques, presenting findings to technical and non-technical audiences while collaborating across teams on varied projects.

Python · SQL · SAS +1

• London
• Hybrid
• Lead · manages people
• Permanent

Lead technical direction on complex, business-critical AI projects for life sciences clients, balancing speed, innovation and reliability. Designs production-grade ML solutions, runs feasibility studies for high-value sales, and mentors data scientists while managing technical stakeholder relationships across engineering and commercial teams.

Metaview

• 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
• Mid-level

Lead and contribute to interdisciplinary research on how frontier AI systems influence human decisions, designing large-scale studies, RCTs, and model evaluations. The role spans computational social science, AI safety, and machine learning, with opportunities to publish, set research agendas, and engage policymakers and frontier labs.

Claude Code · Codex