Data Scientist

Data Scientist

Posted 7 days ago by Hays

£70,000 Per year
Undetermined
Remote
Bournemouth, England, United Kingdom

Summary: The role of Data Scientist within the Risk team at a fast-growing eCommerce business involves developing predictive models and analytical tools to identify and mitigate business risks. The position requires collaboration across functions to analyze complex datasets and deliver insights that influence strategic decisions. The successful candidate will also contribute to the company's machine learning and AI capabilities. This opportunity is ideal for someone eager to drive innovation and scalable AI solutions in a dynamic environment.

Key Responsibilities:

  • Develop predictive models and analytical tools to support risk identification and mitigation.
  • Analyze complex datasets and build risk models.
  • Deliver actionable insights that influence strategic decisions.
  • Support the growth of machine learning and large language model (LLM) capabilities.
  • Collaborate cross-functionally with various teams.

Key Skills:

  • Strong experience in data science within risk management, insurance, lending, or similar sectors.
  • Proficiency in Python and SQL.
  • Experience with machine learning, statistical analysis, and large-scale datasets.
  • Familiarity with large language models (LLMs) and AI modelling tools.
  • Excellent communication skills for presenting complex data clearly.

Salary (Rate): £70,000.00 yearly

City: Bournemouth

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Your new company You'll be joining a fast-growing eCommerce business that's reshaping the online marketplace experience. With a strong focus on innovation, customer satisfaction, and operational excellence, the company is scaling rapidly and investing heavily in data-driven decision-making. As part of a collaborative and forward-thinking team, you'll contribute to the company's continued growth by helping identify and mitigate risks through advanced analytics.

Your new role As a Data Scientist within the Risk team, you'll play a key role in developing predictive models and analytical tools that support the identification and mitigation of business risks. Reporting to the Head of Risk, with a dotted line to the Lead Data Scientist, you'll work cross-functionally to analyse complex datasets, build risk models, and deliver actionable insights that influence strategic decisions. In addition to supporting risk mitigation, you'll be instrumental in helping the business shape and grow its machine learning and large language model (LLM) capabilities. This is a fantastic opportunity for someone who's excited to lay the groundwork for scalable AI solutions and drive innovation from the ground up.

What you'll need to succeed To succeed in this role, you will need: Strong experience in data science within risk management, insurance, lending, or similar sectors. Proficiency in Python and SQL. Experience with machine learning, statistical analysis, and working with large-scale datasets. Familiarity with large language models (LLMs) and AI modelling tools, with a desire to lead their adoption. Excellent communication skills and the ability to present complex data clearly.

What you'll get in return A competitive salary of up to £70,000 Equity in a growing eCommerce business Remote-first working with flexibility The chance to make a tangible impact on AI strategy and innovation Holiday and pension scheme A collaborative, open, and forward-thinking culture

What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk