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- Tasks: Lead data science teams to create innovative AI solutions for financial services.
- Company: Join Capco, a dynamic consulting firm focused on data innovation.
- Benefits: Enjoy competitive pay, flexible holidays, and extensive training opportunities.
- Why this job: Make a real impact by driving data transformation in top-tier financial institutions.
- Qualifications: Experience in leading data projects and strong Python skills required.
- Other info: Be part of a diverse culture that celebrates creativity and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
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.
Capco does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation or military status in any of its activities or operations.
Data Science Manager in London employer: The Capital Markets Company GmbH
Contact Detail:
The Capital Markets Company GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. We want to see how you can translate data insights into business value!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Manager role. Highlight your leadership in data projects and any relevant technologies you've worked with, like Python and ML libraries.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can drive innovation at Capco. Share specific examples of your past successes and how they relate to the challenges we face in financial services.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application clearly conveys your ability to translate complex data insights into business value. Use straightforward language and avoid jargon where possible.
Apply Through Our Website: We encourage you to apply directly through our website. This way, you’ll ensure your application gets to the right people and you can easily track its progress. Plus, it’s super simple!
How to prepare for a job interview at The Capital Markets Company GmbH
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the core ML libraries mentioned in the job description. Brush up on your knowledge of big data technologies like Spark and cloud platforms such as AWS or Azure. Being able to discuss these tools confidently will show that you’re ready to lead data science projects.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led data science teams in the past. Think about specific projects where you guided your team from concept to production, and be ready to discuss your mentoring approach. This will demonstrate your capability to foster a culture of innovation and excellence.
✨Align with Business Goals
Be prepared to talk about how you’ve collaborated with business stakeholders to align technical outcomes with strategic goals. Highlight any experiences where your data insights translated into measurable business value, as this is crucial for the role.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI and machine learning, especially generative AI and LLMs. Showing that you’re passionate about staying updated with cutting-edge technologies will set you apart and demonstrate your commitment to driving data innovation.
