Frog -Managing Consultant - Data Science; Customer Data
Listed on 2026-01-13
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IT/Tech
Data Analyst, Data Science Manager, AI Engineer, Data Scientist
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.
Joining frog means you’ll be joining the "pond," a global network of studios, each with a thriving in‑person and vibrant virtual culture. Frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets.
Frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and make your mark on every project, in your studio, your community—and the world at large.
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 lens 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.
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.
They should have 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.
- 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 valuable 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…
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