<strong>The Role – What You’ll Do<br><br></strong>Barr is looking for a Data Science Intern to join our digital solutions team for 2026–2027! The individual in this role will join a talented and collaborative team of professionals who will support the intern as they explore their interests and build their professional experience at the intersection of computer science, engineering, and environmental science. The intern will support various teams and projects, including data analysis, data infrastructure, artificial intelligence, and automation. The role will support both internal and client-facing initiatives.<br><br><strong>Your Impact – Key Responsibilities<br><br></strong><ul><li>Performing data analysis on environmental and engineering datasets</li><li>Developing processes that automate data transformation, analysis, and visualization</li><li>Working with artificial intelligence and machine learning initiatives, such as working with teams to deploy agentic systems</li><li>Collaborating with various teams to collect requirements and user stories to build digital tools and processes</li><li>Participating in process improvements and special projects as assigned<br><br><br></li></ul><strong>About The Opportunity<br><br></strong><ul><li>Remote: a remote work arrangement may be considered for this position. A remote arrangement refers to working primarily from a home office. Remote arrangements will be considered based on candidate qualifications, local regulations, and Barr’s needs.</li><li>Work schedule: willingness to travel and periodically adjust personal schedule to meet project needs.<br><br><br></li></ul><strong>About You – Required Core Competencies<br><br></strong><ul><li>Education: ongoing enrollment in management information systems, computer science, data science, or a related program, such as engineering with an emphasis on technology. Must have at least one semester to complete after the internship.</li><li>Skills:</li><ul><li>Familiarity with coding in Python, SQL, and/or other programming languages</li><li>Familiarity with key concepts around artificial intelligence and machine learning</li><li>Familiarity with data systems and architectures</li><li>Proficiency with Microsoft Outlook, Word, and Excel</li><li>Excellent oral and written communication skills</li><li>Strong problem-solving skills and desire to learn</li></ul><li>Strong team mentality with a willingness to assist where needed to contribute to the group’s success</li><li>Excellent attention to detail, accuracy, time management, and follow-through</li><li>Driver’s license: possession of a current, valid driver’s license and acceptable driving record.</li><li>Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.<br><br></li></ul><strong>Helpful Additional Experience (not Required)<br><br></strong><ul><li>Previous relevant internship experience</li><li>Experience evaluating environmental data<br><br><br></li></ul><strong>Compensation</strong>: anticipated range of $30.00–$38.00 per hour. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. This position is classified as non-exempt (hourly) under the Fair Labor Standards Act.<br><br>#Handshake<br><br><strong>Benefits - What We Offer<br><br></strong>We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.<br><br><ul><li>Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care</li><li>Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock</li><li>Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders</li><li>Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities</li><li>Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave</li><li>Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities<br><br><br></li></ul>Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.<br><br><strong>About Us - Why Choose Barr<br><br></strong>At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.<br><br>As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.<br><br>To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture<br><br><em>Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.<br><br></em>