Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analytics - Principal Consultant

Capco
City of London
2 weeks ago
Create job alert
Overview

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 topics such as Cloud, AI, and Machine Learning.

Responsibilities
  • 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

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: workshops, certifications, e-learning; Business Coach assigned from Day One for guidance.
  • 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.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

Capco Job Candidate Privacy Notice

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. In order to track the effectiveness of our recruiting efforts, please consider participating in the optional questionnaire.

Select...


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analytics Analyst

Data Analytics Tutor

Data Analyst looking to develop into Data Engineering

Data Analytics Manager

Data Analytics Career Transition Programme (Northampton)

Data Analytics Job Placement Course (Doncaster)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.