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.
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
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)
* 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
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.
Capgemini is a software company that provides consulting, technology, and digital transformation services.
