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.

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.

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.

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.

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.

Additional Resources · Alloa

Day-to-day you will manage and analyse operational asset data from renewable energy sites, cleaning time-series data and building automated pipelines in Python. You will monitor SCADA telemetry, output, downtime and curtailment, check contractor performance against KPIs, and produce dashboards and reports to support performance decisions.

Faculty · London

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor data scientists, and translate complex challenges into rigorous scientific frameworks while guiding cross-functional teams.

Capital One · Nottingham

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction, stakeholder collaboration and mentoring, taking models from prototype through to production in a hybrid Nottingham team.

Capital One · Loughborough

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

Michael Page · Hertfordshire · £60,000 – £65,000 pa

Owns supply chain master data governance and data integrity across plan, source, make and deliver processes in ERP systems. Builds dashboards and analytics in Excel and Power BI, applies automation and AI tools to improve planning accuracy, and leads process mapping, root cause analysis and continuous improvement. Acts as key user for supply chain systems, supporting testing, implementation and training.

The University of Manchester · Manchester · £48,337 – £59,390 pa

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.