Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join its Energy & Utilities sector team. The role supports client-facing AI initiatives by applying AI/ML techniques, cloud technologies, data engineering, and intelligent automation to optimize operations, improve decision-making, and drive digital transformation.
Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector
Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions
Support data collection, cleaning, and preprocessing activities for AI initiatives
Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services
Utilize platforms such as Databricks, PySpark, and modern AI frameworks
Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency
Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders
Contribute to project documentation, reports, and client deliverables
Develop reusable assets, demos, and solution accelerators
Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape
Foster a collaborative environment, actively sharing knowledge and best practices within the team
Qualification
Required
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field
Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles
Demonstrable background in the Energy & Utilities sector, specifically with OFSC (Oracle Field Service Cloud), Oil & Gas, or general Utilities industry knowledge
Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts
Proficiency in at least one AI-centric programming language (e.g., Python)
Experience with:
+ Generative AI concepts (GPT, Claude, LLMs)
+ MLOps, model deployment, and monitoring
+ LangChain and Retrieval-Augmented Generation (RAG) concepts
+ REST APIs, JSON, Authentication, and Integration patterns
+ Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
+ Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)
Strong analytical, problem-solving, and critical thinking skills
Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations
Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment
Preferred
Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD)
Experience with any of the following:
+ data visualization tools and techniques
+ Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)
+ NLP
+ computer vision
+ graph database technology (Neo4J, Ontotext)
+ JIRA / Confluence
Prior project or internship experience in a consulting environment
Benefit
Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Capgemini is a software company that provides consulting, technology, and digital transformation services.
