Data Science Manager

Capco
City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager – Property Tech – London

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

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.


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.
  • Collaborate with business and technology teams to align technical outcomes with strategic goals.
  • Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment.
  • Mentor and develop data professionals, fostering a culture of innovation and excellence.

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, and model governance.
  • Excellent communication and stakeholder management skills with the ability to translate data insights into business value.

Bonus Points For

  • 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.

We offer a competitive, people‑first benefits package designed to support every aspect of your life:



  • 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-your growth, your way. Business Coach assigned from Day One for one‑on‑one guidance.
  • 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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.