Senior Data Scientist

Salary: £65,000 - 105,000 per year

Requirements:

• Hands-on experience building and deploying data science solutions in Python and related ML libraries.
• Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles.
• Experience with cloud environments such as Azure, AWS, or GCP, and tools such as Spark, Hive, and Redshift.
• Demonstrated ability to lead cross-functional teams and mentor junior practitioners.
• Ability to communicate complex technical concepts clearly to non-technical audiences and apply AI-enabled approaches to deliver practical business value.
• Bonus: Participation in Kaggle or other data science competitions.
• Bonus: Experience with MLOps practices such as CI/CD, model monitoring, and DevOps integration.
• Bonus: Familiarity with advanced NLP frameworks such as spaCy or Transformers, and exposure to AI technologies including Generative AI or LLMs.
• Bonus: MSc or PhD in a numerate discipline.
• Bonus: Financial services or banking experience.

Responsibilities:

• Lead the end-to-end delivery of data science solutions including PoCs, MVPs, and production deployments.
• Develop and prototype ML models to solve complex business challenges using modern techniques and tooling.
• Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables, using approved AI tools where appropriate to improve efficiency and accelerate insight.
• Guide and coach data science pods, supporting skill development and solution design.
• Act as a subject matter expert on ML architecture, model calibration, and productionisation, promoting responsible AI practices and scalable model governance where applicable.

Technologies:

• AI
• AWS
• Redshift
• Azure
• CI/CD
• Cloud
• DevOps
• GCP
• Hive
• Support
• Machine Learning
• MLOps
• Python
• Spark

More:

We are Capco, growing our UK Data Practice in London as a hybrid, permanent team focused on Data & Analytics. We deliver high-impact technology solutions for Tier 1 financial institutions in a collaborative, flat, and entrepreneurial consulting culture. We support continuous learning with training, certifications, and at least 40 hours of annual training, and we offer a broad benefits package including bonus, pension, health and life insurance, mental health support, family-friendly leave, backup care, generous holiday flexibility, healthcare access, and extra perks such as Wellhub, travel insurance, season ticket loans, Cycle to Work, and dental insurance. We value individuality, inclusion, and an accessible recruitment process, and our #BeYourselfAtWork culture encourages people to bring their authentic selves to work.

last updated 34 week of 2026