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!