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

• 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 indu