Capgemini is hiring an Associate Data Scientist to support AI and machine learning projects in the Energy & Utilities sector. The role contributes to model development and deployment, data preparation, client engagement, and reusable AI solutions that improve operations and decision-making.
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)
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
Prior project or internship experience in a consulting environment
Benefit
For regular, full-time employees in the U.S. and Canada, subject to local policy and eligibility: paid time off based on employee grade (A-F), defined by policy: vacation (12-25 days, depending on grade), company paid holidays, personal days, and sick leave.
For regular, full-time employees in the U.S. and Canada, subject to local policy and eligibility: medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
For regular, full-time employees in the U.S. and Canada, subject to local policy and eligibility: retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
For regular, full-time employees in the U.S. and Canada, subject to local policy and eligibility: life and disability insurance.
For regular, full-time employees in the U.S. and Canada, subject to local policy and eligibility: employee assistance programs.
Capgemini is a software company that provides consulting, technology, and digital transformation services.
