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- Tasks: Own risk modelling using Python and SQL, collaborating with a dynamic product team.
- Company: Join a construction tech company focused on ESG and sustainability solutions.
- Benefits: Enjoy a competitive salary up to £70,000 plus fantastic perks and primarily remote work.
- Why this job: Make a real-world impact while developing your skills in a collaborative environment.
- Qualifications: Strong experience in risk modelling, Python, SQL, and a foundation in Statistics and ML required.
- Other info: Opportunity to contribute to GenAI-powered reporting tools.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
RISK DATA SCIENTIST (ESG & Supply Chain)
£70,000 + BENEFITS
PRIMARILY REMOTE
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 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 are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform.
A Data Scientist (Risk) will need to:
- 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.
Data Scientist Risk employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Risk
✨Tip Number 1
Familiarise yourself with the latest trends in ESG and supply chain risk. Understanding the current challenges and innovations in these areas will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Brush up on your Python and SQL skills by working on personal projects or contributing to open-source initiatives. Having practical examples of your coding abilities can set you apart and show your hands-on experience in model building.
✨Tip Number 3
Network with professionals in the construction tech and data science fields. Attend relevant webinars, workshops, or meetups to connect with others who might provide insights or referrals that could lead to opportunities at our company.
✨Tip Number 4
Prepare to discuss your experience with end-to-end product ownership. Be ready to share specific examples of how you've managed projects from conception to implementation, as this is a key aspect of the role we're looking to fill.
We think you need these skills to ace Data Scientist Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in risk modelling, Python, and SQL. Use specific examples that demonstrate your end-to-end ownership of projects and your ability to communicate with non-technical stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sustainability and how your skills align with the company's mission. Mention your experience with financial, ESG, and supply chain data, and express your enthusiasm for the role.
Showcase Technical Skills: In your application, emphasise your solid foundation in Statistics and Machine Learning. Provide examples of models you've designed and implemented using Python and SQL, as this will be crucial for the role.
Follow Application Instructions: Ensure you send your application via the specified link and address it to Molly Bird. Double-check that all documents are attached and formatted correctly before hitting send.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Bring examples of projects where you've built models from scratch, as this will demonstrate your technical proficiency and problem-solving abilities.
✨Understand the Company’s Impact
Research the construction tech company and its focus on ESG and supply chain risk. Be ready to articulate how your skills can contribute to their mission of creating smarter, sustainable solutions.
✨Communicate Effectively with Non-Technical Stakeholders
Since the role involves collaborating with non-technical team members, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between technical and non-technical audiences.
✨Prepare for End-to-End Ownership Questions
Expect questions about your experience with end-to-end product ownership. Think of specific examples where you took a project from inception to completion, highlighting your leadership and decision-making skills.
