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!
  
  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.
  
  Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application