Data Science Intern

Who We Are 

Titan Cloud is a market-leading provider of Energy Asset Optimization, helping some of the world’s largest convenience stores, fleets, and suppliers reduce compliance risk, lower asset maintenance costs, and increase revenue and fuel yield. We serve as the enterprise software platform and system of record, connecting our clients' fuel, environment, store operations, and maintenance departments. Our customers save millions annually through reduced lost sales, improved customer experiences, fuel loss mitigation, and reduced environmental reserves and fines. 

About the Role 

We are seeking a Data Science Intern to support a project-driven initiative focused on applying modern data science and machine learning techniques to real-world problems. This internship is hands-on and impact-oriented, providing exposure to current data science tools, Python development, predictive analytics, and Large Language Models (LLMs). The intern will work closely with data scientists and engineers to explore data, build models, and contribute to actionable insights and prototypes. This internship is set to conclude in April 2026.

What You Bring
 

• Recent graduate or soon to graduate Masters in Data Science 
• Availability until April 2026

What You’ll Do 

• Collect, clean, and analyze structured and unstructured data using Python and standard data science tools
• Perform exploratory data analysis to identify patterns, trends, and data quality issues
• Assist in the development, testing, and evaluation of statistical, predictive, and machine learning models
• Support experimentation with modern AI techniques, including large language models (LLMs) and agentic AI workflows, under guidance
• Build prototypes using AI/ML on real datasets
• Develop and evaluate AI agents that integrate models, tools, and data sources to complete multi-step tasks
• Assess data availability, quality, and relevance to determine feasibility of predictive modeling efforts
• Apply appropriate evaluation metrics to validate model performance and assess predictive viability
• Validate results and assess model performance using appropriate quantitative metrics
  Write and deploy code that follows clean code techniques, SOLID architectural principles, and version control best practices
• Adhere to data governance, privacy, and security requirements

Why Join Us
At Titan Cloud, we are committed to creating a diverse and inclusive workplace where all voices are heard and valued. Even if you don’t meet most of the required qualifications or have transferable skills related to this role, we encourage you to apply—even if you don’t meet all the preferred qualifications. We recognize that a variety of experiences can contribute to success in this position, and we value different perspectives on our team.