Senior Data Scientist

Senior Data Scientist - Financial Services

• Based in Nottingham (4 days onsite)

• Permanent, Full-Time

• Salary: up to £75,000 (depending on experience)

A fast-growing financial services organisation is seeking a Senior Data Scientist to help drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you’ll build and improve predictive models, support autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management.

You’ll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning, experimentation, and modern data tooling.

Key Responsibilities:

• Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior teammates.
• Decisioning support : Translate models into business decisions through clear documentation, model outputs, and policy/testing setups.
• Experimentation : Design and analyse A/B and champion–challenger tests; deliver insights with clear visuals and concise narratives.
• Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps.
• Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your expertise in ML, AI, and GenAI tools.

Key Skills and Experience:

• 1-3 years of relevant experience delivering parts of the data science lifecycle.
• Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI.
• Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design.
• Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus.
• Structured thinking, strong problem-solving, and clear communication skills.
• Degree (2:1 or equivalent) in a numerical discipline or relevant industry experience.

Don’t miss this opportunity to take a key role in shaping data-driven decisioning within a dynamic financial services organisation. Apply now with your most up-to-date CV!