Data Intern

Job Title: Data Intern 

Location:  Remote
Type: Internship (Full-time/Part-time) 

About Us 

Procurated is transforming the way public sector organizations make purchasing decisions. Our Canary platform helps procurement professionals leverage trusted peer reviews to find the best suppliers and vendors for their communities. In just a year, Canary became the most widely used procurement technology in state governments and we are looking to build on that success.  

Procurated is passionate about leveraging data to drive impactful business decisions. We work across data analysis, data engineering, and AI, including cutting-edge technologies like Large Language Models (LLMs), and are looking for a motivated Data Intern eager to grow their skills and contribute to real projects. 

Role Overview 

As a Data Intern, you will get hands-on experience working with data pipelines, exploratory data analysis, and AI/ML workflows, including exposure to LLMs. You will collaborate closely with our data team, supporting various tasks that help transform raw data into actionable insights. 

What You’ll Do 

• Write Python scripts for data cleaning, transformation, and analysis 

• Write and optimize SQL queries to extract and manipulate data from databases 

• Assist in building and maintaining data pipelines and ETL workflows 

• Explore datasets to identify trends, anomalies, and insights 

• Support the team in documenting data workflows and reporting results 

• Learn and experiment with AI/ML models and tools, including Large Language Models, under guidance 

What We’re Looking For 

• Basic proficiency in Python programming 

• Foundational knowledge of SQL and relational databases 

• Strong curiosity and interest in data analysis, data engineering, AI/ML, and Large Language Models 

• Ability to work independently and ask questions when unsure 

• Good communication skills and willingness to learn 

• Pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or related fields (preferred but not mandatory) 

Nice to Have 

• Familiarity with libraries like pandas, numpy, matplotlib 

• Exposure to cloud platforms like AWS 

• Understanding of basic statistics and data visualization 

• Prior experience or interest in machine learning frameworks, AI tools, or working with LLMs 

What You’ll Gain 

• Real-world experience working with data in a professional setting 

• Mentorship from experienced data scientists and engineers 

• Exposure to data-driven decision making, AI projects, and Large Language Models 

• Opportunity to contribute meaningfully and build your portfolio