Data Scientist

Capgemini • Houston, TX

13d • Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. The Junior AI-Native Consultant is an early-career, client-facing role focused on applying AI, Machine Learning, and Generative AI solutions within the Energy & Utilities sector. The role supports digital transformation initiatives by developing AI-powered solutions, analytics, and automation capabilities.

Requirements

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

Nice To Haves

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

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: AWS Azure GCP
• Use tools such as: Databricks PySpark LangChain GPT/Claude/LLMs
• Support data preparation, model deployment, monitoring, and MLOps activities.
• Participate in client workshops, presentations, and solution discussions.
• Develop reusable assets, demos, and accelerators.
• Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• 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.
• May create dynamic data reports.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level