Lead Data Scientist in Nottingham, Nottinghamshire

Energy Jobline CVL; Nottingham; On-site; GBP 63,000 - 75,000; Full time

Job summary

A dynamic financial services organisation based in Nottingham is seeking a Lead Data Scientist to drive innovation across the customer lifecycle. The role involves developing predictive models and deploying decision-making frameworks in a team-oriented environment. Candidates should have over 5 years of experience and expertise in machine learning, Python, R, and SQL. This is a permanent full-time position with a salary up to £75,000.

Qualifications

• 5+ years of experience delivering end-to-end data science solutions in a commercial setting.
• Proven ability to lead projects independently and drive results.
• Exposure to Gen AI tools or techniques is a strong plus.

Responsibilities

• Own the development and deployment of predictive models to improve customer outcomes.
• Lead autonomous decisioning initiatives, including model implementation and policy setting.
• Design and execute test-and-learn strategies to inform business decisions.
• Deliver insights through structured analysis and clear communication.
• Identify opportunities for innovation and process improvement using data.

Skills

Machine learning

Predictive modeling

AI

Python

R

SQL

Power BI

Stakeholder engagement

Education

Degree in a numerical discipline (2:1 or above)

Job description

Lead Data Scientist – Financial Services

Based in Nottingham (4 days onsite). Pay up to £75,000. Permanent, Full‑Time.

Our client is a fast‑growing financial services organisation looking for a Lead Data Scientist to drive innovation across the customer lifecycle. This is a hands‑on, commercially focused role where you will develop predictive models, deploy autonomous decision‑making frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You will work closely with cross‑functional teams and shape the future of data science within a dynamic, forward‑thinking environment.

Key Responsibilities

• Own the development and deployment of predictive models to improve customer outcomes.
• Lead autonomous decisioning initiatives, including model implementation and policy setting.
• Design and execute test‑and‑learn strategies to inform business decisions.
• Deliver insights through structured analysis and clear communication.
• Identify opportunities for innovation and process improvement using data.

Key Skills and Experience

• 5+ years of experience delivering end‑to‑end data science solutions in a commercial setting.
• Proven ability to lead projects independently and drive results.
• Strong expertise in machine learning, predictive modeling, and AI.
• Proficient in Python, R, SQL; experience with Power BI or similar tools.
• Exposure to Gen AI tools or techniques is a strong plus.
• Excellent stakeholder engagement and communication skills.
• Degree (2:1 or above) in a numerical discipline.
• Comfortable working independently and collaboratively in a small team.

Don't miss this opportunity to take a leading role in shaping data science strategy within a dynamic financial services organisation. Apply now with your most up‑to‑date CV! The advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, so we encourage you to apply early to avoid disappointment.

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