2 of 2 Data Scientist Jobs in Milton Keynes

Bristol, Cambridge, Gatwick, Milton Keynes, Reading Business Line Enabling Functions Job Type Permanent/FTC Date published 10-Jun-2025 19366 Connect to your Industry Are you passionate about data science and AI? Do you want to apply your skills and knowledge to help shape the future of Deloitte? If so, we have an exciting opportunity for you to … join our Enabling Functions team as an AI Architect & Data Scientist. You be part of an exciting innovative team that delivers cutting edge GenAI solutions. As an AI Architect & Data Scientist, you will work on innovative projects that leverage data and AI to enhance our internal capabilities and deliver value to our employees. You will collaborate … shared values lead every decision wemake and action we take, guiding us to deliver impact how and where it mattersmost . Connect to your opportunity As an AI Architect & Data Scientist, you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques More ❯

Data Scientist 6 Month contract initially Based: Remote/Milton Keynes - Hybrid. Max 3 days p/w onsite. Rate: £400 - £450 p/d (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can … really make a difference. We a great opportunity for a Data Scientist. You will have solid experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data … decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data-driven solutions. Designing KPIs, metrics, and actionable insights. Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with More ❯