Associate Data Scientist
Job Location:
Houston, TX - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Houston TX
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.
Key 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.
Bachelors or Masters 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)
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.
Required Experience:
IC
About Company
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.
