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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 science projects and strong Python skills required.
- Other info: Be part of a diverse team that values 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 and shall 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 employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data science community. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This is your chance to demonstrate your expertise and creativity, making you stand out to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Science Manager
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 StudySmarter. Share specific examples of your past successes and how they relate to the challenges we face in financial services.
Showcase Your Communication Skills: Since this role involves collaborating with various stakeholders, demonstrate your ability to communicate complex data insights clearly. Use your application to show how you've successfully translated technical outcomes into business value in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. This way, we can ensure your application gets the attention it deserves and you can easily track its progress!
How to prepare for a job interview at Capco
✨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 innovative 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 how you mentored junior data professionals. This will demonstrate your ability 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. Think of instances where your data insights translated into measurable business value. This shows that you understand the bigger picture and can drive impactful solutions.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI and machine learning, especially generative AI and LLMs. Being able to discuss these cutting-edge technologies will not only impress your interviewers but also show that you’re passionate about driving data innovation in the financial services sector.
