Data Scientist Intern

Hercules Industries•Denver, CO

1d•Onsite

About The Position

The Data Scientist Intern at Hercules Industries will play an active role in building a modern, data-driven enterprise. This is not a traditional internship focused on observation or support work, interns will work on real business problems that directly impact supply chain, operations, and customer outcomes. As part of Hercules’ transformation to a data-centric organization, this role provides the opportunity to apply data science to real-world industrial challenges, contribute to meaningful value creation, and gain direct exposure to business leaders and decision-making. Interns will be expected to think critically, work collaboratively, and deliver insights that drive action.

Requirements

Currently pursuing a bachelor’s or master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline
Strong foundational knowledge of statistics and probability
Strong foundational knowledge of Data analysis and exploratory data analysis (EDA)
Proficiency in at least one programming language commonly used in data science (e.g., Python or R)
Experience working with data using tools such as SQL, Pandas, or similar frameworks
Ability to structure ambiguous problems into clear analytical approaches
Strong attention to detail and commitment to data accuracy and quality
Effective communication skills, with the ability to explain insights to both technical and non-technical audiences
Ability to effectively communicate with customers and staff to make an accurate assessment of customer needs
Ability to perform basic mathematical calculations required to accurately complete assigned tasks
Intermediate computer skills, including Microsoft Office
Ability to interpret a variety of instructions furnished in oral or written form
Ability to use sound judgment and problem-solving skills

Responsibilities

Work on clearly defined, high-impact business problems such as: Demand forecasting and demand variability analysis, Inventory optimization and parameter tuning (safety stock, lead times), Service level and fill rate analysis, Supplier performance and lead time variability
Break down business problems into structured analytical approaches
Ask thoughtful questions to refine problem statements and assumptions
Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
Build analytical models using statistical and machine learning techniques (as appropriate to experience level)
Develop data visualizations and summaries that communicate key findings
Support the development of predictive and descriptive models alongside full-time data scientists
Work with datasets from ERP (M3), data warehouse, and operational systems
Clean, structure, and validate data for analysis
Identify data quality issues and highlight opportunities for improvement
Collaborate with Data Engineers to understand data pipelines and structures
Translate analytical findings into clear, actionable insights
Present results to team members and, where appropriate, business stakeholders
Connect analysis to real business outcomes (e.g., inventory reduction, improved service levels)
Support the development of recommendations that can be implemented in the business
Work closely with Data Scientists, Data Engineers, Supply Chain and Operations leaders
Participate in regular project reviews and working sessions
Actively seek feedback and continuously improve technical and business skills

Benefits

Opportunity to work on projects that directly influence how a company operates
Exposure to real supply chain, operations, and business challenges
Ability to see your work drive measurable outcomes
Hands-on experience with Data analysis and modeling
Hands-on experience with Business problem-solving
Hands-on experience with Data visualization and communication
Exposure to enterprise systems (ERP, data warehouse, CRM)
Direct interaction with business leaders and decision-makers
Understanding of how analytics supports strategy and operations
Insight into how a mid-sized company transforms and grows
High-performing interns will be considered for full-time roles
Opportunity to be part of building a long-term data science capability at Hercules
Opportunity to make a material impact—your work will matter
Work in a company that is actively transforming and investing in data and analytics
Employee-owned (ESOP), aligning effort with long-term value creation
Right-sized organization: large enough for complexity, small enough for visibility and impact
A culture that values curiosity, problem-solving, and continuous improvement