Data Scientist

Capgemini•Houston, TX

15d•$95,342 - $105,354•Onsite

About The Position

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.