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.

Databricks · London

Customer-facing, hands-on role building and productionizing data and AI solutions on the Databricks platform for emerging enterprise and digital native accounts. You own architecture and design decisions, implement end-to-end systems spanning data engineering, ML/AI and application development, and embed with customer teams. Billable delivery work with roughly 20% travel.

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.

Harnham - Data and Analytics Recruitment · Windsor · £50,000 – £60,000 pa

Owns end-to-end data science work spanning machine learning, AI, forecasting and business-critical analytics. Builds and deploys models, scalable data pipelines and Power BI dashboards on cloud platforms such as Snowflake, while translating stakeholder requirements into data-driven solutions and supporting AI-powered automation.

Harnham - Data and Analytics Recruitment · London · £160,000 – £180,000 pa

Own the data strategy and lead a major transformation of data and analytics capabilities, reshaping the existing function and defining a target operating model. Build a modern data lake and warehouse architecture and a self-serve data environment, with a strong focus on using AI to boost engineering productivity and improve the customer onboarding journey.

Morson Edge · West Yorkshire · £170,000 – £180,000 pa

Lead the data and AI strategy across the organisation, taking ideas from experimentation through to production at scale. Hands-on role spanning generative AI, LLMs, RAG, agentic AI and MLOps, while owning the data platform strategy and building a high-performing team. Works closely with the executive team, Product, Engineering, Architecture and Security.

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.

Isomorphic Labs · London

Lead all externalised drug discovery and preclinical lab operations, building and scaling a global CRO infrastructure for an AI-first drug design platform. Oversee experimental throughput, data QC and turnaround times, embed data-generation-by-design standards, and manage vendor governance, budgets and a team of CRO leads and operations managers.

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.

Adecco · London · £600 – £750 pd

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.

DCV Technologies · Manchester · £550 – £600 pd

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.

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.

Flarebright · Bicester · £39,000 – £49,000 pa

Contributes across the full development lifecycle, from concept and algorithm design to system integration, testing and troubleshooting of safety-critical navigation and autonomy software in C++. Works with a multidisciplinary team on real-time embedded systems, hardware/software-in-the-loop testing and flight test activities, producing design documentation and test reports.

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.