Associate Data Scientist

CapgeminiHouston, TX
$65,000 - $95,000Hybrid

About The Position

Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients. 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. This is a client-facing role that requires excellent communication and problem-solving skills.

Requirements

  • 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).
  • Experience with Generative AI concepts (GPT, Claude, LLMs)
  • Experience with MLOps, model deployment, and monitoring
  • Experience with LangChain and Retrieval-Augmented Generation (RAG) concepts
  • Experience with REST APIs, JSON, Authentication, and Integration patterns
  • Experience with Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
  • Experience with 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.

Responsibilities

  • 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.

Benefits

  • 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
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