Associate Data Scientist

Capgemini is a global business and technology transformation partner helping organizations accelerate digital and sustainable transformation. The Associate Data Scientist will support AI and machine learning initiatives in the Energy & Utilities sector by developing solutions, working with cloud and data platforms, engaging with clients, and contributing to digital transformation projects.

What you'll do:

• 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

What they're looking for:

• We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain
• * 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
• * Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts
• * Proficiency in at least one AI-centric programming language (e.g., Python)
• O    Generative AI concepts (GPT, Claude, LLMs)
• O    MLOps, model deployment, and monitoring
• O    LangChain and Retrieval-Augmented Generation (RAG) concepts
• O    REST APIs, JSON, Authentication, and Integration patterns
• O    Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
• O    Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)

Benefits:

• This is a hybrid role based in Houston, TX.
• 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
• This role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.