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Data Science Manager

Capco capco.com Open · verified Oct 24, 2026
London Manager Data Science

At a glance

Manager-level Data Science role at Capco. London · no salary stated · we estimate £62,250–£94,375.

Estimated pay

Capco has not published a salary for this role. The figure below is our estimate, not theirs.

£62,250 – £94,375
What the middle half of mid-level data science roles in London paid, among postings that did state a salary.
Worked out from 6 postings that stated pay, median £80,000. Last updated Oct 23, 2026.
RoleData Science
SeniorityManager
LocationLondon
PostedOct 29, 2025 · 12mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Lead data teams as they build and launch machine learning and AI solutions
  • Bring generative AI, LLMs and agent frameworks into delivery, with governance and human review
  • Connect technical work to business priorities alongside business and technology teams
  • Set practices for the full data science lifecycle, including MLOps, model governance and responsible AI
  • Coach data professionals and support their growth

What you bring

  • You have led data science or AI projects from early definition through production release
  • You bring strong Python skills and knowledge of core machine learning libraries
  • You understand big data and cloud platforms, including Spark, Hadoop or a listed cloud provider
  • You have deep MLOps expertise, covering scalable deployment, model governance and responsible AI in enterprise settings

Who this fits

This manager role suits someone who can lead technical delivery while translating data insights for business stakeholders. It is based in London on a hybrid basis.

From the employer

Data Science Manager

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Shape intelligent solutions. Lead with insight. Drive data innovation.

The Role

We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value. You'll champion AI-enabled ways of working, encouraging the responsible use of approved AI tools and automations to improve delivery quality, productivity, and insight while maintaining appropriate human oversight and governance.

What You’ll Do

  • Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions.
  • Drive the adoption of cutting-edge technologies including generative AI, LLMs, and agentic AI frameworks, while promoting responsible AI practices, governance, and appropriate human review throughout the delivery lifecycle.
  • Collaborate with business and technology teams to align technical outcomes with strategic goals, leveraging AI-enabled workflows where appropriate to accelerate insight and delivery.
  • Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment, including scalable MLOps, model governance, and responsible AI implementation.
  • Mentor and develop data professionals, fostering a culture of innovation, continuous learning.

What We’re Looking For

  • Proven experience leading the delivery of data science or AI projects from concept to production.
  • Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).
  • Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).
  • Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments.
  • Excellent communication and stakeholder management skills with the ability to translate data insights into business value.

Bonus Points For

  • MSc or PhD in a numerate discipline.
  • Experience in Banking or Financial Services.
  • Exposure to GenAI, LLMs, and intelligent agent workflows.
  • Experience with DevOps, CI/CD, and productionising ML systems.
  • A passion for mentoring and developing early-career data talent,

Why Join Capco

  • Deliver innovative, high-impact data solutions for Tier 1 financial institutions.
  • Work in a collaborative, entrepreneurial consulting environment.
  • Access continuous learning, training, and industry certifications.
  • Join a growing global Data Practice of 800+ experts driving transformation.
  • Be part of a culture where individuality, creativity, and collaboration are celebrated.

Benefits

  • Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
  • Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
  • Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
  • Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
  • Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
  • Continuous Learning: Minimum 40 hours of training annually- choose workshops, certifications, or e-learning. Business Coach assigned from Day One for one-on-one guidance.
  • Healthcare Access: Convenient online GP services.
  • Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco

We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know- we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity, and inclusion, and we bring a collaborative mindset to everything we do.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.