At a Glance
- Tasks: Own risk modelling using Python and SQL to drive sustainability solutions.
- Company: Join a construction tech company making waves in ESG and supply chain risk.
- Benefits: Earn up to £70,000 plus fantastic benefits while working remotely.
- Other info: Be part of a small team shaping actionable insights for a sustainable future.
- Why this job: Make a real-world impact with your data skills in a collaborative environment.
- Qualifications: Strong Python, SQL, and risk modelling experience required.
The predicted salary is between 70000 - 70000 £ per year.
Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL.
THE COMPANY: I'm working with a construction tech company that's making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you'd work closely with a small, collaborative product team - shaping how financial, ESG, and supply chain data is turned into actionable insights.
THE ROLE: This client is hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform.
- Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data
- Design and implement models from scratch using Python and SQL
- Collaborate closely with the cross-functional product team
- Contribute to GenAI-powered reporting tools
YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience:
- Solid experience in risk modelling
- Strong Python and SQL skills
- A solid foundation in Statistics and ML
- Experience with end-to-end product ownership
THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000. On top of the salary, there are some fantastic extra benefits.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
