Internship - Data Science (Remote)

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Minneapolis, MN, USA
In-Office or Remote
30-38 Hourly
Internship
Consulting • Energy
The Role
Supports environmental and engineering data analysis, automation, visualization, data infrastructure, and AI/ML initiatives. The intern will help deploy agentic systems, gather requirements for digital tools, collaborate across teams, and contribute to process improvements and client-facing projects. Candidates must be enrolled in a relevant technology or engineering program, have familiarity with Python or SQL, AI/ML concepts, and data systems, and possess a valid driver’s license.
Summary Generated by Built In

The role – what you’ll do 

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.

Your impact – key responsibilities 

  • Performing data analysis on environmental and engineering datasets

  • Developing processes that automate data transformation, analysis, and visualization

  • Working with artificial intelligence and machine learning initiatives, such as working with teams to deploy agentic systems

  • Collaborating with various teams to collect requirements and user stories to build digital tools and processes

  • Participating in process improvements and special projects as assigned

About the opportunity

  • 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.

  • Work schedule: willingness to travel and periodically adjust personal schedule to meet project needs.

About you – required core competencies 

  • 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.

  • Skills:

    • Familiarity with coding in Python, SQL, and/or other programming languages

    • Familiarity with key concepts around artificial intelligence and machine learning

    • Familiarity with data systems and architectures

    • Proficiency with Microsoft Outlook, Word, and Excel

    • Excellent oral and written communication skills

    • Strong problem-solving skills and desire to learn

  • Strong team mentality with a willingness to assist where needed to contribute to the group’s success

  • Excellent attention to detail, accuracy, time management, and follow-through

  • Driver’s license: possession of a current, valid driver’s license and acceptable driving record.

  • Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Helpful additional experience (not required)

  • Previous relevant internship experience

  • Experience evaluating environmental data

Compensation: 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.

#LI-Remote #Handshake

Benefits - what we offer

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.

  • Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care

  • Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock

  • 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

  • Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities

  • 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

  • Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.

About us - why choose Barr

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.

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.

To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture

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.

Skills Required

  • Currently enrolled in management information systems, computer science, data science, engineering with a technology emphasis, or a related program
  • At least one semester remaining after the internship
  • Familiarity with Python, SQL, and/or other programming languages
  • Familiarity with artificial intelligence and machine learning concepts
  • Familiarity with data systems and architectures
  • Proficiency with Microsoft Outlook, Word, and Excel
  • Excellent oral and written communication skills
  • Strong problem-solving skills and willingness to learn
  • Strong team mentality and willingness to assist as needed
  • Attention to detail, accuracy, time management, and follow-through
  • Current valid driver's license and acceptable driving record
  • Legally authorized to work in the United States without sponsorship now or in the future
  • Previous relevant internship experience
  • Experience evaluating environmental data
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Minneapolis, Minnesota
1,024 Employees
Year Founded: 1966

What We Do

Barr provides engineering and environmental consulting services to clients across the Midwest, throughout the Americas, and around the world. We have been employee-owned since 1966 and trace our origins to the early 1900s. Working together, our 1,000+ engineers, scientists, and technical specialists help clients develop, manage, and restore natural resources. Barr’s project teams work with clients in industries such as power, refining, mining, and manufacturing as well as attorneys, government agencies, and natural-resource-management organizations. Our project sites range from iron-ore mines in South America to wind-power farms in South Dakota, from manufacturing facilities in California to oil-sands fields in western Canada. Barr is an EEO employer. For more about who we are and what we do, please visit our website at www.barr.com

Similar Jobs

Cresta Logo Cresta

Data Science Intern (Customer Success)

Artificial Intelligence • Other • Sales • Software
Remote
United States
112 Employees

Smartling Logo Smartling

Operations Specialist

Artificial Intelligence • Cloud • Information Technology • Machine Learning • Natural Language Processing • Software
Easy Apply
Remote
United States
147 Employees
60K-70K Annually

Smartling Logo Smartling

Talent Acquisition Specialist

Artificial Intelligence • Cloud • Information Technology • Machine Learning • Natural Language Processing • Software
Easy Apply
Remote
United States
147 Employees
60K-85K Annually

Zscaler Logo Zscaler

Director, Threat Research Engagement

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
USA
8697 Employees
200K-285K Annually

Similar Companies Hiring

Energy CX Thumbnail
Greentech • Professional Services • Business Intelligence • Consulting • Energy • Financial Services • Utilities
Chicago, IL
150 Employees
Function Health Thumbnail
Information Technology • Consulting
Los Angeles, CA
116 Employees
Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account