Data Science Intern (Remote) - Barr

2 weeks ago

⚠️ Before applying, please carefully review all the job requirements

Location:: United States Minneapolis, MN
Work Arrangement:: Remote
Experience:: Current university enrollment in Data Science, Computer Science, MIS, or technology-focused engineering
Job Type:: Full-time (Non-exempt / Hourly)
Company:: Barr
Salary:: $30.00 – $38.00 per hour
Posted:: 2026-09-17
Job Requisition ID:: R-102342

Job Overview

Barr is offering a full-time, remote Data Science Internship for the 2026–2027 academic term within its digital solutions group. Operating at the intersection of computer science, engineering, and environmental discipline, this opportunity allows students to apply technical skills to complex datasets across both internal initiatives and client-facing deliverables. The intern will collaborate with a multidisciplinary team of professionals to construct data pipelines, develop automated workflows, and implement artificial intelligence solutions, including agentic systems.
Throughout the program, the intern will utilize programming languages such as Python and SQL, while working with modern data architectures and business productivity applications. This position is ideally suited for enrolled undergraduate or graduate students in data science, computer science, management information systems, or software-focused engineering who possess a passion for analytical problem solving and technical innovation.

» Analyze complex environmental and engineering datasets to extract actionable insights.
» Design and construct automated processes for seamless data transformation, analytical processing, and data visualization.
» Support machine learning and artificial intelligence initiatives, including assisting project teams with deploying agentic systems.
» Partner with cross-functional groups to gather technical requirements and user stories for developing custom digital tools.
» Contribute to continuous process enhancements and participate in assigned special projects.

» Active enrollment in an academic program focused on Data Science, Computer Science, Management Information Systems (MIS), or a technology-oriented engineering discipline.
» Remaining academic standing requiring at least one additional semester of study following the conclusion of the internship.
» Fundamental programming capability in Python, SQL, or related computer programming languages.
» Foundational understanding of core artificial intelligence and machine learning principles.
» Conceptual familiarity with structured data architectures and database systems.
» Proficiency with standard Microsoft Office applications, including Word, Excel, and Outlook.
» Strong verbal and written communication abilities paired with analytical problem-solving skills.
» Collaborative mindset with a strong willingness to support team goals and projects.
» High degree of accuracy, attention to detail, time management, and task follow-through.
» Possession of a current, valid driver's license accompanied by a satisfactory driving record.
» Legal authorization to work in the United States permanently without requiring current or future employer visa sponsorship.
» Willingness to travel as needed and periodically adjust personal work schedules to meet project requirements.

» Prior internship experience in a relevant technical, analytical, or computing environment.
» Background or exposure evaluating and interpreting environmental data.

This role may be suitable for candidates who are currently pursuing a degree in data science, computer science, or technology-related engineering and are looking to apply their academic knowledge to practical industry challenges. Applicants who enjoy working with Python, SQL, and emerging artificial intelligence concepts while analyzing real-world environmental data will find this opportunity particularly engaging. Candidates who thrive in collaborative, multidisciplinary team environments, possess strong problem-solving skills, and are comfortable managing automated data workflows are well-positioned for this position. Additionally, students seeking structured professional mentorship while completing their final academic terms will benefit from the learning-focused environment provided.

» Competitive hourly compensation ranging from $30.00 to $38.00 per hour, with overtime pay eligibility.
» Comprehensive healthcare coverage including medical, dental, vision, life, disability, and accidental death insurance.
» Flexible spending accounts (FSAs) for healthcare and dependent care expenses.
» 401(k) retirement savings plan featuring company matching contributions.
» Employee Stock Ownership Plan (ESOP) with direct employer contributions in company stock.
» Profit-sharing distributions through annual bonuses, ESOP allocations, and shareholder dividends.
» Professional development benefits, including annual time and expense allowances, formal mentorship, and internal training courses.
» Paid time off, company holidays, and paid family leave.
» Wellness support, including ergonomic assessments, equipment stipends, personal protective equipment allowances, and educational wellbeing resources.

Applicants may want to highlight relevant academic projects or coursework that involve Python scripting, SQL database queries, and data visualization. Demonstrating practical experience with data transformation, automation pipelines, or machine learning applications—such as agentic frameworks or predictive models—can strengthen an application. Candidates should ensure their resume clearly details their current degree program, anticipated graduation timeframe, and confirmation of remaining semesters. Emphasizing analytical achievements, collaborative coursework, and any exposure to environmental or engineering datasets will help showcase technical readiness. Additionally, highlighting strong written communication skills and attention to detail will align well with the expectations of a client-focused digital solutions team.

Fill the Job Details: Apply Here