Data Science Jobs

Local Pensions Partnership Administration · Preston · £90,000 – £100,000 pa

Lead AI strategy, governance and delivery across a major UK pension administration organisation, working with the CTO and executive team to identify and scale AI opportunities. Establish responsible AI frameworks, build and manage a specialist AI team, and oversee adoption of tools such as Microsoft Copilot, Civica UPM and UiPath. The role combines strategic leadership, risk assurance and supplier engagement to drive measurable service improvements.

Pontoon · Leeds · £500 – £600 pd

Analyses customer journeys, data lineage and end-to-end data flows to turn complex business needs into trusted data solutions, working with stakeholders, product owners, architects and data engineers. Supports a major banking data transformation, tracing critical data from source to consumption and shaping future-state data products as legacy systems migrate to modern platforms.

Tenth Revolution Group · London · £95,000 – £125,000 pa

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. Lead architectural engagements, tune workloads for performance and cost, and build CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps. Hybrid role in a consultancy, contributing reusable patterns to a wider Architecture Practice.

Wesleyan · Birmingham · £49,800 – £72,000 pa

Lead project data architect role in a four-person data architecture team, ensuring centre-of-excellence objectives run through projects across all business units. Involves designing data architecture, modelling and master data solutions, enabling integration via APIs, GraphQL, JSON and XML, and building cloud-based platforms with Azure, SQL, Python and Databricks.

Hays Technology · London · £100,000 – £110,000 pa

Hands-on role building the backend services, APIs and data pipelines behind a new AI layer for an investment management firm's portfolio technology platform. Involves LLM application work such as agent workflows, tool use and RAG, plus security controls, automated tests, AI evaluations and monitoring of accuracy, latency and cost in production.

Harnham - Data and Analytics Recruitment · London · £70,000 – £75,000 pa

Builds and maintains client-facing analytics applications and reporting products, designing Power BI dashboards and visualisations while integrating AI, large language models and agentic workflows. Works with Data Engineering, Data Science and Architecture teams, migrating traditional reporting into scalable products and delivering executive-level dashboards, demos and training.

Experis · United Kingdom · £1,000 pd

Lead the design, governance and delivery of enterprise-scale Power BI reporting and analytics for a major public sector transformation programme. Define architecture, standards and roadmap across the Microsoft data platform, including Azure SQL, Data Lake, Synapse and Fabric, while implementing RLS, workspace controls and CI/CD practices. Client-facing role mentoring developers and working with data engineering, security and DevOps teams.

Intec Select · London · £80,000 – £90,000 pa

Analyse, design and implement enhancements to financial crime and surveillance platforms including transaction monitoring, sanctions screening and market surveillance. Hands-on work with Python, PowerShell, .NET and Power BI, plus data engineering across Snowflake, SQL, MongoDB and Kafka, acting as liaison between compliance, risk and technology teams and supporting audits and model validation.

Harnham - Data and Analytics Recruitment · London · £75,000 – £80,000 pa

Own end-to-end delivery across data pipelines, modelling and reporting, building Azure-based pipelines and a Databricks lakehouse platform. Integrate finance and HR data via APIs, own the semantic and Power BI reporting layers, and shape data standards as the team grows.

Profectus Recruitment · London · £38,000 – £45,000 pa

Hands-on analytics role building interactive dashboards, reports and analytical models to support business decisions. Uses SQL, Excel and Power BI to extract and present complex data, with scope to automate processes, improve data quality and work with teams across the business. Exposure to Python, R or AI-driven solutions is a plus.

Palantir Technologies · New York, United States · US$145,000 – US$200,000 pa

Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work spans inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, observability, and debugging across containers and drivers.

Palantir Technologies · Washington, United States · US$145,000 – US$200,000 pa

Owns end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereignty-constrained environments. Works full stack from inference engines and GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform, using Java, Rust, Python, Go, Docker, and Kubernetes.

Innova Solutions · London · £50 pa

Applies statistics and time-series analysis to mobile app telemetry, turning raw data into decision-ready insights and dashboards for leadership. Builds multi-page Streamlit dashboards and integrates API/SQL sources including Snowflake and OpenSearch, working end-to-end from data source to analysis to dashboard alongside QE, delivery and product teams.

BDO · London

Builds and productionises AI/ML models for a regulated financial client, covering data wrangling, feature engineering, model development and validation, and containerised deployment. Works with an existing delivery team on classification, outlier detection, ranking and time-series risk analysis, with documentation and reproducible Git-based workflows. RegTech, FinCrime and graph analytics experience is advantageous.

Parkside · London · £100,000 – £150,000 pa

Hands-on role leading AI feature development in a legal tech SaaS platform, building ML models for document parsing, search, classification and summarisation. Involves integrating LLMs with guardrails, evaluation and monitoring, optimising inference on AWS, and building training data pipelines. Works in Scrum squads with engineering, product and QA.

Faculty · London

Delivers bespoke production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Works with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders.