frog -Managing Consultant - Data Science (Customer Data)

Capgemini
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computer Programming Customer Data Management Data Presentation Data Visualization Python (Programming Language) Machine Learning Power BI Cloud Services Tableau (Software) Usage Analysis Large Language Models
+4 more
Deep Learning Generative AI Virtual Agents Programming Languages

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 lens of customer experience. You’ll work at the intersection of 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.

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 the marketing, customer, digital, and commercial sectors. Must have commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements, and client negotiation. Strong project management and people management skills are mandatory.

What We Look For

  • Data Science & AI Expert - Expert in building and evaluating Generative AI solutions and 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 a core focus in customer experience. Experience with transactional/EPOS, digital, social and loyalty datasets.
  • 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 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 aim to build an environment where employees can enjoy a positive work-life balance. All UK employees are eligible to request flexible working arrangements. If you join, you will be fully flexible in terms of assignment location, as these roles may involve periods away from home on short notice.

Location

London, United Kingdom - flexible assignments may require travel.

Compensation

Flexible benefits options and a variable element dependent on grade and performance.

About Capgemini Invent

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their transition to a digital and sustainable world while creating tangible impact. The Group reported 2023 global revenues of €22.5 billion.

Requirements

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 the marketing, customer, digital, and commercial sectors. Must have commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements, and client negotiation. Strong project management and people management skills are mandatory., * Data Science & AI Expert - Expert in building and evaluating Generative AI solutions and 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 a core focus in customer experience. Experience with transactional/EPOS, digital, social and loyalty datasets.
  • 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 stakeholders.
  • Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space., * 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.

Benefits & conditions

Flexible benefits options and a variable element dependent on grade and performance.

About the company

About Capgemini Invent

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their transition to a digital and sustainable world while creating tangible impact. The Group reported 2023 global revenues of €22.5 billion. #J-18808-Ljbffr

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