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.