At a Glance
- Tasks: Lead the design and implementation of innovative data science solutions in financial services.
- Company: Capco is a dynamic consultancy focused on digital transformation in financial services.
- Benefits: Enjoy flexible working, competitive pay, mental health support, and continuous learning opportunities.
- Other info: Join a culture that values individuality and supports your personal growth.
- Why this job: Shape the future of digital finance while mentoring others in a collaborative environment.
- Qualifications: Experience in Python, machine learning, and cloud environments is essential.
The predicted salary is between 48000 - 84000 £ per year.
Overview
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 Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment.
What You’ll Do
- Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments
- Develop and prototype ML models to solve complex business challenges using modern techniques and tooling
- Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables
- Guide and coach data science pods, supporting skill development and solution design
- Act as a subject matter expert on ML architecture, model calibration and productionisation
What We’re Looking For
- Hands-on experience building and deploying data science solutions in Python and related ML libraries
- Strong background in applied machine learning, model development and data engineering
- Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift
- Demonstrated ability to lead cross-functional teams and mentor junior practitioners
- Ability to communicate complex technical concepts clearly to non-technical audiences
Bonus Points For
- Participation in Kaggle or other data science competitions
- Experience with MLOps practices (CI/CD, model monitoring, DevOps integration)
- Familiarity with advanced NLP frameworks such as spaCy or Transformers
- Financial services or banking experience
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
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: Take your pick - workshops, certifications, e-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
- Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
Capco Job Candidate Privacy Notice
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. In order to track the effectiveness of our recruiting efforts, please consider participating in the optional questionnaire.
Senior Data Scientist employer: Capco
Capco is an exceptional employer for Senior Data Scientists, offering a dynamic and collaborative work culture in the heart of London. With a strong focus on continuous learning and professional development, employees benefit from a comprehensive training programme, competitive benefits, and the opportunity to shape innovative solutions for Tier 1 financial institutions. The inclusive environment fosters individuality and teamwork, making it a rewarding place to grow your career in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and data science, especially those relevant to financial services. This will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the data science community by participating in forums or attending meetups. Networking can lead to valuable connections and insights that may give you an edge in your application.
✨Tip Number 3
Showcase your leadership skills by discussing any mentoring or coaching experiences you've had. Highlighting your ability to guide others will resonate well with the collaborative culture at Capco.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully implemented data science solutions. Be ready to explain your thought process, the challenges faced, and how you overcame them, as this will illustrate your hands-on experience.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science, particularly with Python and machine learning. Emphasise any leadership roles or mentoring experiences, as these are key for the Senior Data Scientist position.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data science and how your skills align with the role. Mention specific projects where you've led data science solutions and how you collaborated with cross-functional teams.
Showcase Your Technical Skills:Include specific examples of your hands-on experience with ML libraries, cloud environments, and any participation in data science competitions like Kaggle. This will demonstrate your technical expertise and commitment to the field.
Prepare for Interviews:Be ready to discuss complex technical concepts and how you've communicated them to non-technical audiences. Prepare examples of how you've mentored others and led projects, as these are crucial aspects of the role.
How to prepare for a job interview at Capco
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python and machine learning libraries. Bring examples of projects where you've built and deployed data science solutions, as this will demonstrate your technical expertise.
✨Communicate Clearly
Since the role involves translating complex technical concepts to non-technical audiences, practice explaining your past projects in simple terms. This will show your ability to bridge the gap between technical and business teams.
✨Demonstrate Leadership Experience
Highlight any experience you have leading cross-functional teams or mentoring junior practitioners. Share specific examples of how you've guided others in their development and contributed to successful project outcomes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you approached them, particularly in the context of financial services or data science.
