Managing Consultant – Digital Engineering, Industrial Data & AI

Job not on LinkedIn

🕒 January 6

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

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👻 Ghost score 47%

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• You will be joining, the Industrial Data & AI squad of the Digital Engineering team in Invent • As a Managing Consultant, you’ll help set the direction and contribute to driving forward the business thanks to data-driven insights • You’ll be designing state-of-the-art architectures leveraging data & AI to improve your clients’ operations and help them deliver sustained profitability, efficiency, quality and behavioural change improvements • To assist you in your work, you will be able to collaborate with colleagues from other parts of Capgemini such as Engineering, Frog, Cambridge Consultants to develop comprehensive propositions for improving our client’s business • You will also have the opportunity to contribute to the business and your own personal growth, through activities such as leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events, campaign development, internal think-tanks, whitepapers, training to support your career development and certifications etc.

🎯 Requirements

• Experience in python programming language and SQL • Experience in Data & AI cloud microservices AWS and Azure • Experience with Data & AI platforms: Cognite Data Fusion, C3 AI, Hexagon, Palantir is beneficial • At least one cloud architecture certification i.e. TOGAF, Cloud platform certifications (AWS, Azure), Databricks or other similar • Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle • Experience with Large Language Models architectures and techniques: AI-agents, GraphRAGs, fine-tuning, semantic grounding • Domain-specific knowledge of asset management from one or more of the following: Automotive, Aerospace and Defence, Utilities, Energy, Construction, FMCG and Life Sciences is beneficial • Have strong analytical and problem-solving skills and the ability to work effectively within the team • Have effective and clear communication skills both written and verbal • Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data.

🏖️ Benefits

• unique training opportunities to help you grow and develop your career • flagship conference at Les Fontaines near Paris, France • collaboration support from teams • knowledge sharing • positive work-life balance