Data Scientist

Capgemini is seeking an early-career, client-facing Data Scientist for an onsite role in Houston, TX . The position focuses on applying AI, Machine Learning, and Generative AI capabilities in the Energy & Utilities sector, including RAG-based applications and agent workflows.

Role Summary

In this role, you will develop AI-powered solutions , analytics, and automation capabilities. Responsibilities include building RAG-based applications, supporting AI agent workflows, and contributing to predictive and generative modeling efforts. You will also assist with data preparation, model deployment, monitoring, and MLOps activities while engaging with clients through workshops and solution discussions.

Key Responsibilities

• Assist in developing AI/ML , Generative AI , and Predictive AI solutions.
• Build and support AI agents , agentic workflows , and RAG-based applications .
• Work with cloud platforms including AWS , Azure , and GCP .
• Support data preparation, model deployment , monitoring, and MLOps activities.
• Participate in client workshops , presentations, and solution discussions.
• Develop reusable assets, demos, and accelerators.
• Use data-oriented programming languages and visualization tools to create techniques or analytics applications that transform raw data into meaningful information.
• Apply data mining , data modeling , natural language processing , and machine learning to extract and analyze information from large structured and unstructured datasets.
• Visualize, interpret, and report data findings, including the creation of dynamic data reports (where applicable).

Required Skills & Qualifications

• Python
• AI/ML Fundamentals
• Generative AI & LLMs
• RAG Concepts
• REST APIs & JSON
• SQL & NoSQL Databases
• Cloud Technologies (AWS/Azure/GCP)
• Docker , CI/CD , Azure DevOps
• Bachelor’s or Master’s degree in AI, Data Science, Computer Science, Engineering, or a related field

Experience Requirements

• Minimum 15 months of professional experience in AI, Data Science, or Machine Learning .
• Experience or background in Energy & Utilities and/or Oil & Gas .
• Oracle Field Service Cloud (preferred)

Technologies & Tools

• AWS, Azure, GCP
• Databricks, PySpark
• LangChain
• GPT/Claude/LLMs
• REST APIs, JSON, SQL, NoSQL Databases
• Docker, CI/CD, Azure DevOps
• TensorFlow, PyTorch, scikit-learn
• NLP, Computer Vision
• Neo4j, Graph Databases
• Seeq, PHD Historians
• Jira, Confluence

Preferred Skills

• TensorFlow, PyTorch, scikit-learn
• NLP and Computer Vision
• Neo4j or Graph Databases
• Seeq, PHD Historians
• Jira & Confluence

Compensation

USD 95,342 - 105,354 per year.

Location & Work Setup

Houston, TX (onsite).

Benefits

• Paid time off based on employee grade (A-F): 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 (for example, 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