At a Glance
- Tasks: Lead innovative data analytics projects in the financial services sector and mentor upcoming talent.
- Company: Capco, a forward-thinking consultancy with a collaborative culture.
- Benefits: Competitive salary, generous leave, health insurance, and continuous learning opportunities.
- Other info: Join a diverse team that values individuality and offers great career growth.
- Why this job: Shape the future of digital transformation while working with top-tier financial institutions.
- Qualifications: 5+ years in consulting, strong data analytics knowledge, and excellent stakeholder engagement skills.
The predicted salary is between 70000 - 90000 £ per year.
Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent
The Role
As a Data Analytics Principal Consultant, you’ll take a central role in supporting the continued growth of Capco’s UK Data Practice. You’ll lead complex data and analytics programmes across the financial services sector while mentoring talent, guiding clients and driving innovation across topics such as Cloud, AI and Machine Learning.
What You’ll Do
- Deliver cutting‑edge data transformation initiatives across top‑tier financial institutions
- Provide leadership and mentoring to data consultants, helping shape career development
- Build strong client relationships and lead data propositions and sales opportunities
- Engage with technical and non‑technical stakeholders to champion data literacy and adoption
- Represent Capco’s Data Practice in the market to enhance visibility and develop partnerships
What We’re Looking For
- Minimum 5 years of experience in a consulting or senior management role
- Deep knowledge of data and analytics disciplines such as data quality, governance, BI and ML
- Strong stakeholder engagement skills, from C‑suite through to delivery teams
- Experience designing and executing complex data programmes within Financial Services
- Ability to operate across multiple workstreams while developing internal capability
Bonus Points For
- Prior experience in business development or pre‑sales within a consultancy environment
- Hands‑on familiarity with modern data science, MLOps or AI operationalisation
- Knowledge of data ethics, AI governance or analytics operating models
- Change management or business analysis experience within large transformation programmes
- Confidence in navigating both technical and strategic client discussions
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
Core Benefits
- Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover
- Easy access to CareFirst, Unmind, Aviva consultations, and in‑house first aiders
- Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement
- 8 complimentary backup care sessions for emergency childcare or elder care
- 5 weeks of annual leave with the option to buy or sell holiday days based on your needs
- Minimum 40 hours of training annually: workshops, certifications, e‑learning – your growth, your way
- Business Coach assigned from Day One: one‑on‑one guidance to fast‑track your goals and accelerate your development
- Convenient online GP services
- 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, 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.
EEO Statement
Capco does not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status in any of its activities or operations.
Lead Data Analytics Consultant employer: Dormont Manufacturing Co
Capco is an exceptional employer that fosters a collaborative and entrepreneurial culture, making it an ideal place for Lead Data Analytics Consultants to thrive. With access to continuous learning opportunities, competitive benefits, and a commitment to inclusivity, employees are empowered to shape the future of digital financial services while receiving tailored support for their professional growth. The hybrid work model in London allows for flexibility, ensuring a balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analytics Consultant
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We think you need these skills to ace Lead Data Analytics Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
