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Energy Data Science Jobs in Indiana (NOW HIRING)

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center experience a plus. * Ability to walk the job site, climb ladders, and multi floor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center experience a plus. * Ability to walk the job site, climb ladders, and multi floor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center experience a plus. * Ability to walk the job site, climb ladders, and multi floor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center experience a plus. * Ability to walk the job site, climb ladders, and multi floor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center experience a plus. * Ability to walk the job site, climb ladders, and multi floor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center experience a plus. * Ability to walk the job site, climb ladders, and multi floor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center experience a plus. * Ability to walk the job site, climb ladders, and multi floor ...

Senior AI Engineer - SFL Scientific

Indianapolis, IN · On-site

$99K - $137K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data ... renewable energy. Key responsibilities: * Work with clients to design, develop, and deploy new ...

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Showing results 1-20

Energy Data Science information

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

Infographic showing various Energy Data Science job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Artificial Intelligence (AI) Internship - Hybrid Remote

Artificial Intelligence (AI) Internship - Hybrid Remote

Hoosier Energy

Bloomington, IN • Hybrid

Full-time

Posted 21 days ago


Job description

Are you looking to gain valuable, hands-on experience with an Artificial Intelligence (AI) internship? Hoosier Energy is offering a paid internship through August 2026 with the possibility of extension. We are seeking an organized, self-motivated college student to join our team.

The internship schedule will be Monday-Friday, up to 40 hours per week, with the days and hours being flexible based upon intern availability. Hybrid work is also an option.

Position Summary 

The AI Intern will support Hoosier Energy’s efforts to leverage artificial intelligence for operational and business efficiency. This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy’s AI usage policies and governance standards. 

Key Responsibilities

  • Assist in developing and testing AI models for predictive maintenance, cybersecurity anomaly detection, and data-driven decision-making.
  • Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision.
  • Prepare datasets for AI training, ensuring compliance with data governance and privacy standards.
  • Document AI use cases, workflows, and risk assessments in alignment with Hoosier Energy’s AI Policy.
  • Collaborate with Technology Governance Committee on AI product assessments and vendor evaluations.
  • Monitor AI outputs for accuracy and reliability; ensure human review of all deliverables (“Human in the Loop”).
  • Research emerging AI trends and provide recommendations for safe and effective adoption.

Qualifications

  • Currently a Junior level or above college student pursuing a degree in Informatics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Cybersecurity, or related field.
  • Familiarity with machine learning concepts, large language models, and generative AI.
  • Strong analytical and problem-solving skills; attention to detail in compliance-driven environments.
  • Basic programming skills (Python preferred) and understanding of data privacy principles.

Compliance & Ethics

  • Must adhere to Hoosier Energy’s AI Policy, including restrictions on sensitive data, intellectual property, and privacy.
  • All AI-generated work must undergo human review before finalization.

About Hoosier Energy: Hoosier Energy is a generation and transmission cooperative providing wholesale power and services to 17-member distribution cooperatives across central and southern Indiana and southeastern Illinois. Headquartered in Bloomington, Indiana, we serve over 700,000 consumers across a service area of 15,000 square miles.

Apply today to enhance your skills and take the next step in your professional development!

Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.