Data Scientist

Harnham; Remote; GBP 552,000 - 650,000; Full time

Job summary

A leading data consultancy in the UK is seeking a skilled Data Scientist to join their team remotely. This role focuses on developing and deploying predictive models that drive data-driven decision making, particularly emphasizing Generative AI capabilities. Candidates should have strong programming skills in Python and experience with tools like Databricks. A quantitative academic background is required, and the ability to engage with stakeholders effectively is essential.

Qualifications

• Proven experience delivering Data Science or Machine Learning solutions in a commercial environment.
• Strong programming skills in Python or R.
• Solid SQL skills and experience with cloud environments, preferably Azure.
• Hands-on experience with Databricks and model deployment workflows.
• Excellent communication skills to explain complex concepts.

Responsibilities

• Collaborate with stakeholders to define analytical solutions.
• Prepare and engineer datasets for analysis.
• Build and validate predictive models using ML techniques.
• Deploy models in a cloud environment using CI/CD practices.
• Integrate data science outputs into BI products.

Skills

Data Science solutions delivery

Python programming

Machine Learning techniques

SQL proficiency

Statistical modelling

Communication skills

Education

BSc in relevant field

MSc or PhD in relevant field

Tools

Databricks

Azure

scikit-learn

pandas

PySpark

Job description

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.