Data Science Jobs

• London
• Hybrid
• £140,000 – £160,000 pa
• Director · manages people
• Permanent

Owns and executes an enterprise data, analytics and AI strategy in a complex global environment, leading a multi-disciplinary team spanning analytics, data science and data engineering. Drives data-led decision making among senior stakeholders, establishes governance frameworks and delivers high-value AI and machine learning use cases on scalable modern platforms.

• London
• Hybrid · 2 days in office
• £160,000 – £170,000 pa
• Director · manages people

Owns the data, analytics and AI strategy for a global pharmaceutical procurement joint venture, leading a multidisciplinary team of about 18 across analytics, data science and engineering. Reports to the COO and drives a digital and AI roadmap spanning commercial and pricing analytics, predictive modelling of supply chain risk and operational improvement, working with senior stakeholders across both parent organisations.

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for field monitoring of wild animals, including individual recognition and automated behavioural and physiological quantification. Systems are benchmarked under controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

Thermal Imaging · Cameras · Microphones

• Cambridge
• Permanent

Join a research team advancing efficient multimodal deep learning for consumer devices, focusing on dataset curation, annotation pipelines and automated evaluation methods such as LLM-as-judge for audio, image and video perception tasks. The role blends large-scale offline and online data analysis in Python with close collaboration across scientists, compiler engineers and product teams to move models from prototype to production.

Python

• 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.

• Hanoi, Vietnam
• On-site
• Permanent

A research-focused faculty role in data science, combining independent research, high-quality publications and securing competitive funding with teaching, course delivery and student supervision. The position sits within an engineering and computer science college and collaborates with a big data research institute, spanning areas such as IoT, distributed systems, computational intelligence and applied data science in genetics, agriculture and healthcare.

• 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
• On-site
• £550 – £600 pd
• Mid-level
• Contract

Contract role developing and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Involves prompt engineering, RAG concepts, experiment design, model evaluation and documentation, plus requirements gathering, code review and troubleshooting alongside project managers and developers.

GCP · LLM · RAG

• Milton Keynes
• Hybrid
• £40,000 – £45,000 pa
• Mid-level

Designs, builds and owns enterprise BI solutions on Microsoft Fabric and Power BI, including semantic models, advanced DAX and paginated reports. Leads the migration of a legacy SSRS estate to Power BI and handles governance, security and Fabric capacity management within a six-person reporting team.

Power BI · Microsoft Fabric · DAX Studio +7

• Bristol
• Hybrid · 2 days in office
• £450 – £480 pd
• Senior
• Contract

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. The role covers ML pipelines, MLOps deployment, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

TensorFlow · PyTorch · OpenAI +5

• Manchester
• Mid-level

Day-to-day work centres on analysing and reconciling large finance datasets in SQL, investigating data quality issues across multiple systems, and defining business rules, mappings and acceptance criteria. The role also covers testing, validation and release support, producing analysis for technical and non-technical stakeholders while working with finance, risk, data and technology teams.

Power BI · Tableau · Looker +1

• Manchester
• Senior · manages people

Lead technical delivery of AI, machine learning and data science solutions for major financial services clients, including architecture design, production model deployment and mentoring small teams of data scientists. Client-facing role requiring strong Python, SQL, Spark and cloud experience, with LLM, prompt engineering and RAG knowledge advantageous.

Pandas · Scikit-Learn · Spark

• London
• Senior
• Contract

Builds ML and graph-based identity resolution where rule-based matching falls short, improving customer-spine architecture and reducing identity drift. Defines matching-quality metrics, supports golden-layer integration and delivers a reusable identity-resolution framework. Requires entity resolution, fuzzy matching, MLOps and feature-store experience plus Customer Master/MDM background.

• London
• Lead

Leads customer analytics across multiple markets, building CLV, RFM segmentation, incrementality measurement and value frameworks that give leadership defensible commercial insight. Partners with Finance to reconcile customer, transaction and margin data, and builds scalable pipelines in Databricks, Spark and Python with strong validation and audit practices.

Databricks · Spark · PySpark +4

• London
• Mid-level
• Permanent

Develops and maintains LLM instruction iterations and evaluation frameworks, including automated eval pipelines, LLM-as-a-judge methodologies, rubric design and dataset curation. Runs A/B tests, causal inference and large-scale multimodal analysis to improve conversational shopping quality, partnering with applied scientists and engineers to productionise insights.

MCP · ETL