Lead Data Scientist

Tate; East Midlands; On-site; GBP 50,000 - 60,000; Full time

Job summary

A fast-growing financial services organization in Nottingham seeks an experienced Lead Data Scientist. In this hands-on role, you'll develop predictive models, lead policy setting for autonomous decision-making, and drive innovation throughout the customer lifecycle. You should have over 5 years of experience in data science, strong expertise in machine learning, and proficiency in Python and SQL. This position offers a salary between £50k-£60k, with a 4-day onsite work schedule.

Qualifications

• 5+ years of experience delivering end-to-end data science solutions in a commercial setting.
• Strong technical expertise in machine learning and predictive modelling.
• Solid understanding of stakeholder engagement and business communication.

Responsibilities

• Develop and deploy predictive models to improve customer outcomes.
• Lead model implementation and policy setting to support decision-making.
• Design and execute test-and-learn strategies.

Skills

Machine learning

Predictive modelling

AI

Python

R

SQL

Power BI

Gen AI tools

Education

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

Job description

Overview

Lead Data Scientist – Nottingham – 4 days a week onsite – Pay 50k-60k dependent on experience. Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle.

Responsibilities

• Develop and deploy predictive models to improve customer outcomes across multiple business areas.
• Lead model implementation and policy setting to support autonomous decision-making.
• Design and execute test-and-learn strategies to inform business decisions.
• Deliver actionable insights through structured analysis and clear communication.
• Identify opportunities for process improvement and innovation using data.

Qualifications and Experience

• 5+ years of experience delivering end-to-end data science solutions in a commercial setting.
• Strong technical expertise in machine learning, predictive modelling, and AI.
• Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools.
• Experience applying Gen AI tools or techniques is highly desirable.
• Solid understanding of stakeholder engagement and business communication.
• Educated to degree level (2:1 or above) in a numerical discipline.
• Ability to work independently and collaboratively within a small team (5 people).

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!

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

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