12 days ago

Industrial Data & AI Managing Consultant

Capgemini

On Site
Full Time
£85,000
Greater London, England, United Kingdom

Job Overview

Job TitleIndustrial Data & AI Managing Consultant
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary£85,000
LocationGreater London, England, United Kingdom

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Job Description

Industrial Data & AI Managing Consultant at Capgemini Invent

At Capgemini Invent, difference drives change. As inventive transformation consultants, we combine strategic, creative, and scientific capabilities to deliver cutting-edge solutions. Join us to drive transformation tailored to client challenges, informed by science, data, creativity, and purposeful technology.

Your Role as an Industrial Data & AI Managing Consultant

You will be an integral part of the Industrial Data & AI squad within the Digital Engineering team at Capgemini Invent. As a Managing Consultant, you will be instrumental in setting strategic direction and contributing to business growth through data-driven insights. Your responsibilities will include designing state-of-the-art architectures that leverage data and AI to enhance client operations, fostering sustained improvements in profitability, efficiency, quality, and behavioural change. You will collaborate with diverse teams across Capgemini, including Engineering, Frog, and Cambridge Consultants, to develop comprehensive propositions for client business enhancement.

Beyond Client Work: Business and Personal Growth

This role offers significant opportunities for both business contribution and personal development, encompassing a variety of activities:

  • Business Development: Leading or contributing to proposals, RFPs, bids, proposition development, client pitch contributions, and client hosting at events.
  • Internal Contribution: Engaging in campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), and offering development.
  • Learning & Development: Participating in training to support career progression and meet company skill demands, including various certifications.

Your Profile: Skills and Experience

The ideal candidate for the Industrial Data & AI Managing Consultant position will possess a strong combination of the following:

  • Proficiency in Python programming language and SQL.
  • Experience with Data & AI cloud microservices on AWS and Azure.
  • Familiarity with Data & AI platforms such as Cognite Data Fusion, C3 AI, Hexagon, or Palantir is advantageous.
  • At least one cloud architecture certification (e.g., TOGAF, AWS, Azure, Databricks, or similar).
  • Proven track record in Data Science and Analytics, successfully delivering work across the ML lifecycle.
  • Experience with Large Language Models architectures and techniques, including AI-agents, GraphRAGs, fine-tuning, and semantic grounding.
  • A genuine desire to solve real-world data issues and client challenges.
  • Domain-specific knowledge in asset management from sectors like Automotive, Aerospace and Defence, Utilities, Energy, Construction, FMCG, or Life Sciences is beneficial.
  • Strong analytical and problem-solving skills, with the ability to collaborate effectively within a team.
  • Excellent written and verbal communication skills.
  • Strong stakeholder management and presentation skills, adept at helping clients derive value and insights from their data.

Why You'll Thrive at Capgemini Invent

Capgemini Invent offers unique training opportunities for career growth, including potential attendance at our flagship Les Fontaines conference in France. Collaboration is central to our culture, with teams actively supporting each other and sharing knowledge. We are proud to be a "Glassdoor Best Places to work UK" recipient for four consecutive years, reflecting our commitment to a positive work environment.

Our Commitment: Diversity, Wellbeing & CSR

We are dedicated to Diversity & Inclusion, fostering environments where you can bring your whole self to work. We embrace hybrid working and flexible arrangements to promote a positive work-life balance. Employee wellbeing is paramount, supported by trained 'Mental Health Champions' and investments in wellbeing apps. Our CSR efforts focus on reducing our carbon footprint and improving digital access, recognized by the Ethisphere Institute as one of the world’s most ethical companies for a decade.

While London, Manchester, or Glasgow will serve as your office base, flexibility for assignment locations and potential travel is required. Our remuneration package includes flexible benefits and a variable element based on performance. Capgemini is a global business and technology transformation partner, with 350,000 team members in over 50 countries, committed to unlocking technology's value and driving a digital and sustainable world. We are a Disability Confident Employer (Level 2) and offer interviews to all disabled candidates meeting the minimum essential criteria.

Key skills/competency

  • Data & AI Architecture
  • Python Programming
  • SQL
  • Cloud Microservices (AWS, Azure)
  • Machine Learning Lifecycle
  • Large Language Models (LLMs)
  • Data Science & Analytics
  • Stakeholder Management
  • Business Development
  • Consulting

Tags:

Industrial Data & AI Managing Consultant
Data Architecture
AI Strategy
Machine Learning
Data Science
Business Development
Client Engagement
Project Management
Solution Design
Digital Transformation
Consulting
Python
SQL
AWS
Azure
Cognite Data Fusion
C3 AI
Hexagon
Palantir
TOGAF
Databricks
LLMs

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How to Get Hired at Capgemini

  • Research Capgemini Invent's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for Industrial Data & AI: Highlight experience with Python, SQL, AWS/Azure, LLMs, and data science projects aligning with the job description.
  • Showcase consulting and client management skills: Provide examples of problem-solving, stakeholder engagement, and business development in your application.
  • Prepare for technical and behavioral interviews: Be ready to discuss your expertise in data architecture, ML lifecycle, and how you drive client value.
  • Emphasize your passion for innovation: Demonstrate your enthusiasm for leveraging data and AI to solve real-world industrial challenges.

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