Data Science Jobs

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.

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

Lead operational analytics strategy while staying hands-on with SQL, experimentation and statistical measurement. Manage a team of analysts supported by analytics engineering, define the analytics roadmap, and partner with senior stakeholders to improve operational performance, customer outcomes and AI-enabled tools such as chatbots and copilots.

Palantir Technologies · New York, United States · US$110,000 – US$170,000 pa

Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets and partnering with Forward Deployed Engineers to build pipelines and customised workflows. The role involves onsite work, training users, and presenting to audiences from analysts to C-suite, with travel of 25-75% and some deployment to internal Palantir teams.

Palantir Technologies · Chicago, United States

Deployment Strategists embed with customer teams to turn data into operational action, exploring workflows, identifying key problems and integrating datasets into stable pipelines alongside Forward Deployed Engineers. The role involves building customised workflows, leading training, presenting to analysts through C-suite, and scoping new engagements, with 25-75% travel and a Chicago base.

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.

Isomorphic Labs · London

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists, engineers and domain experts, with scope to lead projects and mentor others depending on experience.

Synthesia · London

A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.

LENACRE GROUP LTD · London · £55,000 pa

Builds practical applications and automations across Office 365, Power Platform, SharePoint, Power BI and Azure, turning business needs into working software. Uses AI-assisted development tools to generate, refactor and debug code, validating it for security and maintainability, and takes AI initiatives from MVP to production. Works with stakeholders, infrastructure engineers and governance teams, with two days a week in the Canary Wharf office.

McLaughlin & Harvey · Coatbridge

Designs and maintains Power BI semantic models, DAX measures and SQL transformations within a data warehouse, building and improving reports and dashboards for a construction business. Works with colleagues to gather requirements, validates data against source systems, and supports in-house web applications, with hybrid and flexible working options.

Hays Technology · Belfast · £460 – £485 pd

Gather and document business and data requirements, analyse data flows, lineage and sourcing, and write SQL to validate data. Produce BRDs, process maps and functional specs while working with business, data and technology stakeholders on Markets and regulatory transformation. Requires Capital Markets or Financial Services background and strong SQL skills.

Real · Berkshire · £500 pd

Support a Microsoft Fabric implementation within a data transformation programme, gathering and documenting business and technical requirements while mapping business processes. Work closely with stakeholders in Agile delivery to help ensure a modern data platform is delivered successfully, with exposure to Fabric being highly desirable.

Opus Recruitment Solutions · London · £260 – £290 pd

Two Data Analysts are sought to support analytical and reporting initiatives in a payments, banking or fintech context. Day to day involves backbook segmentation, customer analytics, propensity and predictive modelling, performance reporting, and building and automating dashboards and MI. The role requires strong SQL and Power BI or Tableau skills, working with large datasets and stakeholders to turn business requirements into analytical solutions.