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Capco

Lead Data Analytics Consultant

Capco is hiring a Lead Data Analytics Consultant in London, United Kingdom. Level rates it ; you can apply on Capco.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include MLOps and AI safety.
  • Level classifies it as a lead role.
  • Level lists 702 other open roles at Capco.

AI in this role

ml-opsai-safety
Lead Data Analytics Consultant – Principal Consultant

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Champion innovation. Grow capabilities. Deliver real-world outcomes.

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 Cloud, AI and Machine Learning. You'll champion AI-enabled ways of working, helping clients and teams adopt modern approaches that improve productivity, accelerate insight and deliver measurable business outcomes, while ensuring responsible AI practices and appropriate human oversight.

What You'll Do

  • Lead the delivery of complex data transformation and analytics programmes across leading Financial Services organisations, helping clients unlock value through modern data and AI capabilities.
  • Provide leadership and mentoring to data consultants, fostering technical excellence, continuous learning and the effective adoption of AI-enabled tools and modern delivery practices.
  • Build trusted client relationships, shape data and AI propositions, and contribute to business development activities by identifying opportunities to deliver measurable business value.
  • Engage with technical and non-technical stakeholders to promote data literacy, AI adoption and data-driven decision-making, translating complex concepts into clear business outcomes.
  • Represent Capco's Data Practice externally through industry engagement, partnerships and thought leadership, contributing to the evolution of Capco's data and AI offerings.

What We're Looking For

  • Minimum five years' experience in consulting or a senior leadership role delivering complex data and analytics initiatives within Financial Services.
  • Strong expertise across data and analytics disciplines, including data quality, governance, business intelligence, AI and machine learning, with an understanding of how these capabilities enable enterprise transformation.
  • Excellent stakeholder management skills, with the ability to influence audiences from C-suite executives through to delivery teams and communicate complex technical concepts clearly.
  • Proven experience designing and delivering enterprise-scale data transformation programmes, with an understanding of responsible AI, governance and modern AI-enabled delivery approaches.
  • Ability to lead multiple workstreams while developing internal capability, embracing AI-enabled ways of working to improve delivery quality, efficiency and client outcomes.

Bonus Points For

  • Experience supporting business development, proposition development or pre-sales activities within a consulting environment.
  • Hands-on familiarity with modern data science, MLOps, AI operationalisation or cloud-native analytics platforms.
  • Knowledge of responsible AI, AI governance, model risk management or enterprise analytics operating models.
  • Experience supporting organisational change, business analysis or large-scale transformation programmes involving data and AI.
  • Confidence operating across both strategic and technical client discussions, with the ability to connect business objectives to modern data and AI capabilities.

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.

Benefits

  • 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. Business Coach assigned from Day One to help accelerate your development.
  • Healthcare Access: Convenient online GP services.
  • 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.

 #LI-DNI

 

How we rate this

Lead Data Analytics Consultant at Capco rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsAI Safety

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. How do you think about the risk of an AI system in this kind of role failing silently?

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  • List these exact terms on your resume: ML Ops and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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