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For Companies At a Glance
- Tasks: Lead innovative data science projects using AI and machine learning to solve real-world challenges.
- Company: Join Capco, a forward-thinking consultancy in the financial services sector.
- Benefits: Enjoy a competitive salary, generous leave, mental health support, and continuous learning opportunities.
- Why this job: Make a significant impact by delivering high-value data solutions for top-tier financial institutions.
- Qualifications: Experience in leading data science projects and strong Python skills are essential.
- Other info: Be part of a diverse team that celebrates creativity and collaboration.
The predicted salary is between 48000 - 84000 £ per year.
Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent
Shape intelligent solutions. Lead with insight. Drive data innovation.
The Role
We are 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 will guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value.
What You Will 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 Are 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 are committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we will 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 England 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 England
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data science community. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨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, so make it shine!
✨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 techies and business stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the crowd!
We think you need these skills to ace Data Science Manager in England
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 experience with AI and machine learning technologies.
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 our mission.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and ML libraries, as well as your understanding of big data technologies. We want to see how you’ve applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 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 the impact of those projects on the business. This will demonstrate your ability to mentor and develop talent.
✨Align with Business Goals
Understand the strategic goals of the company and be prepared to discuss how your technical expertise can align with these objectives. Think about how you can translate complex data insights into actionable business value, as this is crucial for the role.
✨Emphasise Continuous Learning
Highlight your commitment to continuous learning and professional development. Mention any relevant certifications or training you've undertaken, especially in areas like generative AI or MLOps. This shows that you’re not just skilled but also eager to stay ahead in the rapidly evolving field of data science.
