Data Science Jobs

• London
• Hybrid · 3 days in office
• Lead

Lead (pre)-formulation strategy for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to improve solubility, stability and manufacturability. Interpret stability studies using ICH and ASAP methods, author regulatory submissions, and work with drug design, preclinical and CMC teams while managing external CRO resources.

ICH · ASAP · FDA

• 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
• Remote
• £80,000 – £100,000 pa
• Mid-level

Builds and enhances risk pricing models for a personal lines insurer using statistical and machine learning techniques, developing, validating and monitoring predictive models in Python. Delivers customer segmentation, conversion modelling and pricing analytics, and supports a proprietary pricing and rating platform while working closely with technical, commercial and underwriting stakeholders.

Python

• 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
• £130,000 pa
• Senior

Senior client-facing consulting role within a global technology consultancy's Data & AI practice, serving pharmaceutical and Life Sciences clients. Involves applying data science, machine learning and GenAI to commercial use cases such as sales, marketing and customer analytics, leading projects from strategy through implementation while managing senior stakeholders and supporting pre-sales and business development.

Python · SQL

• Edinburgh
• Remote
• £30,000 – £45,000 pa
• Entry level

A self-funded training programme leading to AI engineering employment, covering AWS Cloud Practitioner certification, Python, machine learning and AI systems through online self-paced study. Includes hands-on projects, CV and interview support, and recruitment assistance until placement, with a job guarantee or course fee refund.

AWS · TensorFlow

• 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

• London
• Hybrid
• Mid-level
• Permanent

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires travel up to 25% to client sites.

Palantir AIP

• New York, United States
• Hybrid
• US$135,000 – US$200,000 pa
• Mid-level
• Permanent

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.

Palantir AIP

• London
• On-site
• Senior
• Permanent

Senior individual contributor building the shared platform, tooling and infrastructure for an interdisciplinary chem-bio research team. Work spans LLM-based agent systems, evaluation frameworks, cloud and container infrastructure, and production Python, translating varied research needs into maintainable systems while mentoring engineers without line management.

AWS · Kubernetes · Slurm +2

• 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

• United Kingdom
• Remote
• Lead

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), leads fine-tuning and evaluation engagements, and mentors the wider field engineering organisation.

Databricks · Mosaic AI · MLflow +7

• London
• Hybrid
• £43,981 – £54,019 pa
• Mid-level
• Contract

Conduct original independent research under a Principal Investigator in areas such as data science, machine learning, biomedical and environmental statistics, causal inference and applied probability. Produce conference presentations and top-journal publications, contribute to the department's research environment, and take on a limited teaching load (around 20% of a typical academic load).

• London
• Hybrid
• Senior

Delivers models, algorithms and insights for Tesco UK Suppliers using transactional, shopper and clickstream data, working with Client Leadership teams to identify growth opportunities. Builds scalable, reusable solutions in Python, SQL and PySpark, and shapes new workstreams from the ground up.

Git · PySpark