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. 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 W