Data Science Jobs

• Loughborough
• Hybrid
• Mid-level

Hands-on role in a Group IT Data & AI team, owning use cases end to end from problem definition and feature engineering through model development, deployment and monitoring. Work spans BI, advanced analytics, ML and AI solutions in Python, SQL and Spark on cloud platforms, with accountability for measurable commercial value and input into governance standards.

Spark

• London
• Mid-level

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.

Databricks · Apache Spark · AWS +7

• London
• Hybrid
• £95,000 – £125,000 pa
• Senior
• Permanent

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.

Databricks · Delta Lake · Spark +7

• London

Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks platform. You own architecture and end-to-end delivery spanning data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Travel to client sites up to 50%.

Databricks · OpenAI · Anthropic +7

• London
• Hybrid · 1 day in office
• £160,000 – £180,000 pa
• Director · manages people

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.

Azure · Microsoft Data Technologies

• London
• Senior
• Permanent

Partner with account sales teams and channel partners to understand customer needs, strategize evaluations, and help prospects choose the platform. Deliver executive and technical presentations, run demos, proofs of concept, and implementations, while building technical champions to drive deals. Collaborate with product, engineering, marketing, and partners on account plans and joint architectures.

Snowflake · dbt · Spark +3

• West Yorkshire
• On-site
• £170,000 – £180,000 pa
• Director · manages people
• Permanent

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.

Azure

• London
• £80,000 pa
• Lead · manages people

Leads analytical and data-focused delivery workstreams on large-scale transformation programmes, owning roadmaps and managing teams of analysts and engineers. Bridges business stakeholders and technical delivery, defining requirements, governance and best practices while shaping cloud-based data products using SQL, Python and platforms like Fabric, Databricks or Snowflake.

Microsoft Fabric · Databricks · Snowflake +7

• Newark
• £90,000 – £100,000 pa
• Director · manages people

Lead the organisation's data strategy, platforms and governance, shaping how data, analytics and AI modernise the business and improve guest experiences. Combine accountability for data technology and engineering with building a company-wide data culture, acting as strategic adviser to the CTO and senior leadership.

• Watford
• Hybrid · 3 days in office
• £75,000 – £95,000 pa
• Lead · manages people

Lead an advanced analytics function, designing and delivering analytics products and insight frameworks while partnering with senior stakeholders to turn business challenges into analytical solutions. Hands-on work with SQL, Python or R, Power BI and statistical modelling, plus coaching analysts and setting technical standards and governance.

SQL · Python · R +1

• Guildford
• Hybrid · 1–2 days in office
• £45,000 – £60,000 pa
• Mid-level

Develops enterprise-level Power BI dashboards, semantic models and data pipelines, using DAX, Power Query and SQL to enable self-service analytics. Also builds automation and predictive solutions with Python or R, Power Automate and Blue Prism, while gathering requirements and training business users. Sits within a growing BI and Automation function driving digital transformation.

Power BI · Power Automate · Blue Prism +3

• London
• Hybrid · 3 days in office
• Director · manages people

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.

AlphaFold

• Derby
• Hybrid · 1 day in office
• £60,000 – £75,000 pa
• Mid-level

Design and build data pipelines, ETL processes, APIs and microservices in Python, deploying machine learning models and statistical analysis into production. Manage AWS infrastructure (S3, Lambda, EC2, RDS, Glue) supporting data and application workloads, working with large complex datasets in an innovative technology team.

AWS · NumPy · Pandas +7

• Manchester
• £60,000 – £70,000 pa
• Mid-level

Own and evolve commercial pricing strategy across a large-scale, high-volume ecommerce marketplace, developing dynamic pricing models that respond to real-time demand, competitor activity and seasonality. Partner with Data Science and Engineering to introduce AI-powered pricing, predictive models and automated decision engines, while leading A/B tests, scenario modelling and pricing KPI dashboards alongside Commercial, Finance and Product stakeholders.

AI

• London
• Hybrid
• Permanent

Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about…