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Senior 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.

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
  • Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions
  • 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
  • Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions
  • People management skills, including mentoring, guiding, and developing junior team members
  • Ability to communicate complex ideas clearly, with excellent written and oral presentation skills, that engages internal and external audiences
  • 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
  • Familiarity with ethical considerations and best practices in AI and data science
What we offer:
  • Flexible working arrangements
  • Positive work-life balance
  • Hybrid working
  • Mental health support via trained 'Mental Health Champions'
  • Access to wellbeing apps such as Thrive and Peppy
  • Flexible benefits options
  • Variable compensation dependent on grade and on company and personal performance

Additional Information:

Job Posted:
January 29, 2026

Work Type:
Hybrid work
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