Data Scientist

Data Scientist

Remote (UK)

Up to £650,000

About the Role

We have had an exciting new role come in for an experienced Data Scientist to join a growing Data function within the property/real estate space.

You will play a pivotal part in shaping data-driven decision making across the organisation. You’ll work hands-on across the full end-to-end lifecycle - framing problems, developing models, and deploying solutions that create tangible commercial and operational value. A focus of the role will be accelerating the organisation’s Generative AI capability, building LLM-driven tools and RAG-based solutions that unlock natural language interaction with business data.

Key Responsibilities

• Collaborate with stakeholders across the business to capture requirements and translate them into clear analytical solutions.
• Prepare, clean and engineer structured datasets to support modelling and exploratory analysis.
• Build, test and validate predictive, diagnostic and prescriptive models using statistical and machine learning techniques.
• Deploy and maintain models within a modern cloud environment (Databricks / Azure) using CI/CD best practice.
• Create clear, actionable insights for both technical and non-technical audiences.
• Integrate data science outputs into wider BI products and operational workflows.
• Develop and deploy GenAI solutions, including LLM Q&A, RAG frameworks and multi-agent systems.
• Contribute to high coding standards, documentation, knowledge sharing and code reviews.
• Stay ahead of emerging data science and AI advancements to identify new opportunities.

What We’re Looking For

• Proven experience delivering Data Science or Machine Learning solutions in a commercial setting.
• Strong programming skills in Python (preferred) or R, with experience using scikit-learn, pandas, PySpark or similar.
• Solid SQL skills and experience working with cloud environments (Azure advantageous).
• Hands-on experience with Databricks, model deployment and production workflows.
• Strong understanding of statistical modelling, ML methods and feature engineering.
• Experience working with Large Language Models, RAG, vector databases or GenAI architectures.
• Ability to partner with cross-functional teams and build strong stakeholder relationships.
• Excellent communication skills with the ability to simplify complex concepts.
• A quantitative academic background (BSc required; MSc/PhD preferred).

Please note that sponsorship cannot be offered for this position.