Data Science Jobs

Palantir Technologies · Sydney, Australia

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.

Palantir Technologies · London

Builds and architects data-intensive frontend interfaces for Palantir Foundry, owning APIs and schemas that power complex workflows. Works with TypeScript, React and GQL, creating low-code tools and mentoring engineers, with possible embedded customer rotations.

Harnham - Data and Analytics Recruitment · London · £100,000 – £150,000 pa

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.

Faculty · London

Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.

Faculty · Remote (UK)

Lead the design, build and deployment of production-grade machine learning systems for defence clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams, and act as a trusted technical advisor to customers while mentoring junior engineers. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.

Harnham - Data and Analytics Recruitment · London · £110,000 – £120,000 pa

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with testing, CI/CD and monitoring. Partner with Product, Engineering, Credit and Operations to embed controls.

Gleeson Recruitment Group · Birmingham · £90,000 pa

Owns the full model lifecycle for credit risk, affordability and pricing models, from problem definition and feature engineering through validation, deployment and monitoring. Builds monitoring frameworks and dashboards, explores challenger models and A/B testing, and translates analysis into commercially focused insights for Data, Risk and Product stakeholders in an SME lending context.

Qualify Nation Recruitment · London · £28,000 – £38,000 pa

A traineeship covering AI fundamentals, generative AI and LLMs, prompt engineering, workflow and business process automation, AI agents, no-code platforms and API integrations. Participants build a portfolio through realistic projects such as chatbots, automated business processes and process analysis, with mentoring and career guidance. No prior AI or automation experience is required.

Databricks · United Kingdom

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.

Technical University of Denmark · Lyngby, Denmark

A professorial role leading research in biostatistics and environmental statistics, with a focus on human health and applications using Denmark's highly registered population. The post holder shapes the Statistics and Data Analysis section's scientific direction, supervises graduate and postdoctoral researchers, and teaches across BEng, BSc, MSc and PhD levels.

Databricks · London

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams.

University of Hertfordshire · Hatfield · £39,560 – £46,970 pa

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications using heterogeneous data, as part of an Innovate UK-funded collaborative project. Involves developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

LENACRE GROUP LTD · London · £55,000 – £62,000 pa

Translate business requirements into working prototypes and production-ready tools using AI-assisted development and low-code platforms. Build automations across Microsoft 365, Power Platform, SharePoint, Power BI and Azure, reviewing AI-generated code for security and maintainability while working with stakeholders, infrastructure and governance teams.

Snowflake · London

Owns the end-to-end product lifecycle for enterprise AI services within the Snowflake Cortex team, from discovery and roadmap definition to launch and metrics analysis. Leads a cross-functional pod of engineers, data scientists and solution architects, translating bespoke customer deployments into scalable platform features while working closely with GTM and customer leadership.

Isomorphic Labs · London

Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.