Management Consultant: Data Analytics Lead – Managing Principal

Capco
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist SME & AI Architect

frog -Managing Consultant - Data Science (Customer Data)

Analytics Specialist with Data Science

Senior Practice Lead - Data Science_ UK

frog - Senior Consultant - Data Science (Customer Data)

Data Science Consultant

Management Consultant: Data Analytics Lead – Managing Principal

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different.

ABOUT US

Capco is a global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how.

THE ROLE

We are currently seeking a Data Analytics Lead to drive the strategy and growth of our industry recognised, and award-winning Data Practice. To be considered for this role you will be a respected authority in the analytics industry, with experience in helping to build and run an analytics consulting business. This is an exciting opportunity to join a growing team of multi-disciplinary data practitioners, who you will direct and collaborate with to develop new businesses and deliver cutting-edge analytics, data science and AI projects for top-tier Financial Services clients.

AS A DATA ANALYTICS LEAD YOU WILL

  • Identify and research business development opportunities on new or existing clients and aiding the development of client proposals and bids.
  • Have a strong commercial focus, ability to develop client relationships, direct sales opportunities and develop data propositions.
  • Build market networks and relationships, to enhance the market awareness of the UK Data Practice.
  • Create a collaborative culture, driving talent development, provide mentoring and coaching for those developing their careers in data.
  • Be comfortable working across multiple projects and initiatives, driving the growth of new and existing data capabilities, engaging internal and external stakeholders.

SKILLS & EXPERTISE

  • 8+ years of consulting experience likely in a senior management or director position.
  • Experience in spearheading new business opportunities.
  • Understanding of common data concepts e.g., Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data Literacy.
  • Expertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data Analysis.
  • Ability to develop working relationships with a wide variety of clients, from C-suite to technical resources, balancing conflicting priorities.
  • Background managing business and technical teams to deliver projects of varying sizes, from incubating innovative products to delivering large scale productionised analytics and data science models.
  • Essential experience working within Financial Services, Capital Markets, Insurance, or Wealth & Asset Management, in a data science, analytics and AI related role.
  • Desired experience in programme execution, business analysis and change management – proven ability to shape, design, and manage the execution of data programmes.
  • Experienced working in a multi-client environment that emphasises collaboration, and teamwork.
  • Experienced in recruiting and developing teams.

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

  • A work culture focused on innovation and creating lasting value for our clients and employees.
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise.
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
  • A diverse, inclusive, meritocratic culture.
  • Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.

#J-18808-Ljbffr

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.