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Managing Consultant - Data Science; Customer Data

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Frog
Full Time position
Listed on 2026-05-25
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 GBP Yearly GBP 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Managing Consultant - Data Science (Customer Data)
Location: Greater London

Why Join frog?

Since June 2021, frog is part of Capgemini Invent. frog partners with customer‑centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We’re inventing the future of customer experiences by delivering market‑defining business models, products, services, brand engagements and communications.

frog Data

Join our frog data team and help shape the future of data and AI consulting. We help brands unlock the value and power of data and AI – through the lense of customer experience. You’ll work at the intersection our solutions focus on CX Data and AI, strategy, activation & personalisation, analytics, insights, measurement and advanced data science, turning complex data into transformative solutions that drive real impact.

If you’re passionate about using data and AI to create smarter, more human experiences, this is your opportunity to lead change and make a difference.

An Overview Of

The Role

We are seeking a highly skilled Managing Consultant with hands‑on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors.

Has commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Additionally, the candidate should have strong project management and people management skills.

What We Look For
  • Data Science & AI Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models.
  • CX Data Experience - Hands‑on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience. Experience in working with various data sets, including transactional/EPOS, digital, social and loyalty.
  • Programming Experience - Skilled in using programming languages such as Python
  • Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning.
  • Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively.
  • Strong AI Delivery Leadership – Experience leading cross‑functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions.
  • Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities.
  • People Manager - People management skills, including mentoring, guiding, and developing team members.
  • Excellent Communicator – Strong written communication, presentation and data driven storytelling skills, with the ability to communicate complex ideas clearly to senior client stakeholders
  • Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space
It Would Be a Bonus If You Have
  • Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector).
  • Familiarity with Agentic AI development and use cases
  • Familiarity with ethical considerations and best practices in AI and data science
Need To Know

We don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work‑life balance. We embed hybrid working in all that we do and make…

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