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Managing Consultant - Data Science (Customer Data)

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frog

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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

Requirements:

  • 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
  • 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
  • Skilled in using programming languages such as Python
  • Knowledge of cloud platforms and tools for data science and machine learning
  • Utilise visualisation tools such as Power BI or Tableau to present data insights effectively
  • 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 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 management skills, including mentoring, guiding, and developing team members
  • Strong written communication, presentation and data driven storytelling skills, with the ability to communicate complex ideas clearly to senior client stakeholders
  • A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space

Nice to 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
What we offer:
  • Positive work-life balance
  • Hybrid working
  • Flexible working arrangements
  • Employee wellbeing support
  • Trained ‘Mental Health Champions’
  • Access to wellbeing apps such as Thrive and Peppy
  • Remuneration package which includes flexible benefits options
  • Variable element dependent grade and on company and personal performance

Additional Information:

Job Posted:
January 29, 2026

Work Type:
Hybrid work
Job Link Share:

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