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.