Data Scientist

(AI/ML Engineer / GenAI Engineer / Data Scientist) Houston TXOverview 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. Required Qualifications 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)MLOps, model deployment, and monitoring Lang Chain and Retrieval-Augmented Generation (RAG) conceptsREST APIs, JSON, Authentication, and Integration patterns Deployment tools (Azure Dev Ops, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS Cloud Formation, Code Deploy)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. Preferred Qualifications Prior experience specifically with OFSC (Oracle Field Service Cloud), or general Oil & Gas industry knowledge. Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).Experience with any of the following:data visualization tools and techniques Machine Learning frameworks (Tensor Flow, PyTorch, scikit-learn)NLPcomputer visiongraph database technology (Neo 4J, Ontotext, etc.)JIRA / Confluence Prior project or internship experience in a consulting environment.