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For Companies At a Glance
- 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 benefits and remote work options.
- 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: This role offers hands-on experience with 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 specific tools and technologies mentioned in the job description, particularly Python and SQL. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Network with professionals in the construction tech and ESG sectors. Attend relevant webinars or meetups to connect with people who can provide insights into the industry and potentially refer you for the role.
✨Tip Number 3
Prepare to discuss your experience with risk modelling in detail. Be ready to share specific examples of how you've taken ownership of projects and the impact your work has had on previous teams or companies.
✨Tip Number 4
Research the company’s mission and values, especially their focus on sustainability and supply chain risk. Tailor your conversations during interviews to reflect your alignment with their goals and how you can contribute to their vision.
We think you need these skills to ace Data Scientist Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant 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 ESG and supply chain data, and express your enthusiasm for the role.
Highlight Technical Skills: Clearly outline your technical skills in Python, SQL, and any relevant statistical or machine learning techniques. Provide examples of how you've applied these skills in previous roles, especially in risk modelling.
Showcase Collaboration Experience: Emphasise your ability to work within cross-functional teams. Include examples of past collaborations that led to successful outcomes, particularly in product development or data-driven projects.
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, and be ready to explain your thought process and the outcomes.
✨Understand the Company’s Impact
Research the construction tech company and its focus on ESG and supply chain risk. Be ready to discuss how your skills can contribute to their mission of creating smarter, sustainable solutions.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with a cross-functional product team, think of examples where you've successfully collaborated with non-technical stakeholders. Highlight your communication skills and ability to translate complex data into actionable insights.
✨Demonstrate End-to-End Ownership
Be ready to discuss your experience with end-to-end product ownership. Share specific instances where you took full responsibility for a project, detailing the challenges you faced and how you overcame them.
