At a Glance
- Tasks: Own risk modelling projects using Python and SQL to drive sustainability.
- Company: Join a construction tech company making waves in ESG and supply chain.
- Benefits: Earn up to £70,000 plus fantastic benefits and remote work flexibility.
- Other info: Enjoy a hands-on role with excellent career growth opportunities.
- Why this job: Make a real-world impact while collaborating with a dynamic product team.
- Qualifications: Strong skills in risk modelling, Python, SQL, and a foundation in Statistics.
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.
Remote Data Scientist Risk in Cambridge employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking construction tech company that prioritises sustainability and innovation, offering a collaborative work culture where your contributions directly impact ESG and supply chain risk solutions. With a focus on employee growth, you will have the opportunity to take full ownership of your projects while enjoying a competitive salary and excellent benefits in a primarily remote setting.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Scientist Risk in Cambridge
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We think you need these skills to ace Remote Data Scientist Risk in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Harnham - Data & Analytics Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
