Data Science Jobs

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Designs and delivers bespoke data science solutions for clients across government, finance, retail, energy and life sciences, mapping end-to-end approaches and software architecture. Acts as a technical advisor, scoping new projects and setting the technical bar for delivery teams, with strong Python, NumPy, Pandas and TensorFlow/PyTorch work.

Python · NumPy · Pandas +3

• London
• Hybrid
• Senior
• Permanent

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. Bridge cutting-edge AI research and operational mission needs, build trusted relationships with government partners, and develop proposals and RFP responses to unlock new strategic AI use cases. Mentor multidisciplinary teams while supporting sector strategy and commercial growth.

Metaview

• 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

• Sheffield
• Hybrid
• £32,080 pa
• Entry level
• Contract · Part time

Builds and evaluates machine learning models that predict Strep A outbreak risk from multiple real-world datasets, turning them into early-warning signals. Works closely with clinicians and an engineering team so the analysis feeds into a practical public health tool. Combines health data, time series and mathematical modelling in a cross-disciplinary research setting.

• 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.

• 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
• £40,603 – £67,776 pa
• Senior · manages people
• Contract

Develops tools for multivariate analysis of neuroimaging data (anatomical MRI, fMRI, M/EEG, OPMs), releases them to the community via SPM, and conducts a mathematical review of existing multivariate techniques. Based in the Neurovascular Modelling Group within UCL's Methods Group, the post requires Bayesian model development, Variational Bayes derivations and strong programming skills.

MATLAB · SPM · MRI +3

• 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

• 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.

• Guildford
• Hybrid
• £32,722 – £37,369 pa
• Contract

Supports data collection, storage, analysis and governance for an InnovateUK-funded project using acoustic monitoring to detect early signs of ill health in poultry flocks. Involves reporting to multiple stakeholders and some front- and back-end software development, with significant on-site presence at a hybrid Guildford base.

PyTorch · Excel

• London
• On-site
• £130,000 – £180,000 pa
• Director · manages people
• Permanent

Lead the entire AI research strategy for a financial crime intelligence business, building and managing a team of researchers and ML engineers while staying hands-on. Work spans LLM fine-tuning, agentic systems, vision models, evaluation frameworks and explainability standards for highly regulated AML, compliance and fraud detection use cases, taking research from concept through to production.

LLMs

• London
• On-site
• £100,000 – £150,000 pa
• Director · manages people
• Permanent

Lead a data research function, defining strategy for sourcing and evaluating new datasets and assessing their quality, reliability and commercial value. Oversee statistical analysis, modelling and time series research, run end-to-end projects, and mentor a small team while driving adoption of AI and advanced analytics.

• London
• Hybrid · 2 days in office
• £43,000 – £48,000 pa
• Mid-level
• Permanent

Provides trial design and statistical analysis for an expanding Clinical Trials Unit portfolio, plus statistical support for four national clinical audits covering over 500 providers and 4 million electronic health records. Works within a multidisciplinary team of statisticians, data scientists and epidemiologists on clinical trials, health services research informing NHS policy, and methodological and data science work.

• 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