Overview

We’re looking for a Data Scientist to join our growing team and help turn complex data into meaningful insights that inform key decisions in housing, energy efficiency, and sustainability.

This is an opportunity to work on high-impact projects that support government departments, local authorities, and other public and private sector partners. You’ll be part of a collaborative, skilled team applying modern data science techniques to address real-world challenges and improve outcomes for people and places.

Help BRE make buildings safer and more sustainable!

BRE aims to be the world’s leading innovation, science and data hub for the built environment. For more than a century, we have provided government and industry with cutting-edge research and testing. Join us to help deliver products, advice, services, standards and qualifications used around the globe to make buildings better for people and the environment. Through science-led solutions to urgent challenges, we will build a thriving and sustainable world.

Your role at BRE

The Data Scientist will play a key role in delivering data-driven insights and solutions across housing, energy efficiency, and sustainability projects. Working within a multidisciplinary team, this role supports internal and external stakeholders by applying analytical methods and advanced modelling techniques to real-world challenges.

Key Responsibilities and Tasks

• Develop and apply statistical and machine learning models to solve business and research problems.
• Clean, transform, and analyse structured and unstructured data using modern data science tools.
• Use SQL and Python to extract, manipulate, and visualise data from various sources.
• Support the enhancement and maintenance of existing data products and tools.
• Produce clear and actionable insights to inform decision-making across teams and partner organisations.
• Collaborate with analysts, data engineers, and product teams to shape the technical direction of projects.
• Communicate findings through visualisations, dashboards, and technical reports.
• Contribute to innovation in the use of data, AI, and advanced analytics within the housing and sustainability domain.

What we are looking for

Essential

• Experience with statistical modelling and machine learning.
• Proficient in at least two of: Python, R, SQL, C++, or Rust.
• Ability to work with and replace legacy SPSS code.
• Knowledge of Bayesian and Frequentist statistical methods.
• Strong data storytelling skills for technical and non-technical audiences.

Desirable

• Advanced Python skills (e.g. Pandas, NumPy, scikit-learn).
• Familiarity with ML algorithms (e.g. regression, classification, K-NN, decision trees).
• Understanding of neural networks (ANN, RNN; potential use of CNN).
• Awareness of AI and LLMs (e.g. LLAMA).
• Exposure to Agile practices (Scrum, Kanban).
• Basic understanding of cloud platforms (preferably Azure).

BRE Benefits

At BRE, we offer a competitive salary, reviewed annually, along with a comprehensive benefits package designed to support your financial security, well-being, and career development.

Financial & Security Benefits

• Pension scheme – 5% employer-matched contribution

• Life assurance – 4x your basic salary

• Enhanced maternity package

Health & Wellbeing

• HealthPartners cashback scheme – Reclaim costs on prescriptions, physiotherapy, dental care, and more

• Onsite facilities – Restaurant, nursery, and free parking, including at-cost EV charging points

Career Development

• Learning & development – Free access to BRE Academy and our online learning platform

• Professional membership reimbursement

For full details on our benefits, visit: BRE Employee Benefits

Work Location Options

Hybrid/ Mostly Remote – This role is primarily home-based, with occasional travel to our head office in Watford for planned meetings.

Equal Opportunities Statement

BRE is an equal opportunities employer. We assess all qualified applicants based on merit and do not discriminate on the grounds of race, colour, religion, sex, age, national origin, disability, veteran status, genetic information, or any other legally protected characteristics.