Data Science Jobs in Cambridge

• Cambridge
• Hybrid
• £45,000 pa
• Mid-level
• Permanent

Joins a professional services consultancy's Finance and Operations team as the data-driven partner, owning KPIs and financial metrics and building Power BI reporting that senior leaders use. Work spans analysing financial and operational performance, forecasting, budgeting and scenario modelling, plus improving governance and automating manual processes across multiple ERP systems and APIs.

Power BI · Excel · Power Query +6

• Cambridge
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with a guaranteed job offer or a full refund of course fees.

Microsoft AI-900 · Azure AI Fundamentals · Git +1

• Cambridge
• Permanent

Join a research team advancing efficient multimodal deep learning for consumer devices, focusing on dataset curation, annotation pipelines and automated evaluation methods such as LLM-as-judge for audio, image and video perception tasks. The role blends large-scale offline and online data analysis in Python with close collaboration across scientists, compiler engineers and product teams to move models from prototype to production.

Python

• Cambridge
• Hybrid
• £35,000 – £40,000 pa
• Mid-level

Designs and maintains Power BI dashboards and SQL-based reporting across warehouse operations, inventory, transport, customer service, labour productivity, costs and budgets. Works with Distribution, Supply Chain, Commercial and IT stakeholders to turn operational and financial data into recommendations that change site performance, using sources such as Fabric, WMS and SAP.

Power BI · SQL · Microsoft Fabric +2

• Cambridge
• £47,389 – £59,966 pa
• Entry level
• Permanent

The role involves contributing to research and teaching in statistics, broadly interpreted from theoretical mathematical statistics to foundations of machine learning, within the world-leading Statistical Laboratory. The post-holder will lecture undergraduate and master's courses, pursue research funding, and build interdisciplinary collaborations across Cambridge and internationally.