Lead Data Scientist (J5441) Nottingham, England

Salary: GBP50000 - GBP60000 per annum + benefits package

Lead Data Scientist

Location: Flexible / Hybrid
Contract Type: Permanent
Salary: 50k-60k

Monday to Friday core office hours

 

We are recruiting a Lead Data Scientist on behalf of a fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle using advanced data science and machine learning techniques.

 

About the Role:

As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy, credit risk, and customer management. You’ll have the opportunity to shape the direction of data science initiatives and work with a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics.

 

Key Responsibilities:

  • Own and develop predictive models to improve customer outcomes across multiple business domains.
  • Lead model deployment and policy setting to enhance autonomous decisioning.
  • Design and implement test-and-learn strategies that influence key business decisions.
  • Deliver actionable insights through structured analysis and clear communication.
  • Continuously seek and identify opportunities for process improvement through data.

 

Key Skills & Experience:

  • Proven experience delivering end-to-end data science solutions in a commercial environment.
  • Strong technical expertise in predictive modelling, machine learning, and AI.
  • Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Experience in applying Gen AI tools or techniques is highly desirable.
  • Educated to degree level (2:1 or above) in a numerical discipline.

 

What You’ll Bring:

  • A proactive, self-motivated approach to solving real-world business problems.
  • The ability to work both independently and collaboratively within a team of ~5.
  • A high level of discretion and professionalism when handling sensitive data.
  • A mindset focused on innovation, continuous learning, and delivering outcomes.
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