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Data Science Intern, Summer 2026

Inmar Intelligence
Winston, NC Intern
POSTED ON 11/24/2025 CLOSED ON 12/19/2025

What are the responsibilities and job description for the Data Science Intern, Summer 2026 position at Inmar Intelligence?

Discover Your Future with Inmar Intelligence: Where Potential Meets Purpose

Are you ready to do meaningful work that actually makes a difference — not just another summer gig? At Inmar Intelligence, we don’t just build technology, we power the modern marketplace. For over 45 years, we've been the trusted partner of some of the world’s biggest brands, retailers, and healthcare organizations. From saving consumers billions to making healthcare safer and more efficient, our data-driven solutions shape the way businesses operate.

But What Truly Sets Us Apart Is Our Culture. At Inmar, You’ll Experience a High Challenge, High Support Environment That Pushes You To Grow — Without Going It Alone. We Believe In

  • Raising the bar in everything we do
  • Seeking truth together, through collaboration and learning
  • And putting our Customer First

Here, you won’t just be an intern. You’ll be part of a team that encourages curiosity, celebrates bold ideas, and gives you the tools to shape your career — starting now.

About This Opportunity

Inmar’s Summer Internship Program offers a dynamic and enriching experience designed to give students real-world exposure to a professional environment while contributing meaningfully to company initiatives. Interns will split their time between a high-impact cross-functional team project and department-specific responsibilities assigned by their direct manager.

The MarTech Data Science team contributes to the design, development, and deployment of advanced data science and engineering solutions for Inmar’s media and incentives solutions. We are seeking an intern that can bridge data science and engineering to enable scalable, high-performance analytics products and ad-hoc analyses that leverage data for actionable insights. The Data Science Intern will collaborate across multiple teams including data engineering, business intelligence, product, and analytics, to build robust data pipelines, deploy machine learning models, and develop solutions that power predictive analytics. You will have the opportunity (and the expectation!) to leverage enterprise-level AI tools to help you in these projects. If you are the kind of person who gets told a problem is “unsolvable” and your first reaction is “Ok, how would I solve it?”, this is the team for you.

What You’ll Do

  • Assist in building modular, reusable components for data transformation, feature extraction, and model deployment using modern cloud technologies (Google Cloud Platform).
  • Contribute to the design and deployment of machine learning models and advanced analytics pipelines to deliver scalable solutions.
  • Collaborate with internal stakeholders on the design of machine learning models and advanced analytics to deliver a range of ad-hoc solutions, with the ability to identify commonalities in requests and propose new products based on recurring themes.

Your Qualifications

  • Currently pursuing a Bachelor's or Master’s degree in Data Science, Statistics with a concentration in Data Science, Data Engineering, or any related quantitative field with a strong emphasis on statistical programming and working with big data (e.g. Economics, Psychology, Computer Science, etc.).
  • Strong analytical, organizational, communication, and problem-solving skills.
  • Proficiency in DML (SQL) and cloud systems (Google Cloud preferred, but AWS, Azure, Spark, etc., are all great). You'll be asked to solve complex, novel data problems; we will have a large library of queries, scripts, and routines for you to build off of, but you must be comfortable developing independently from there.
  • Proficiency in statistical programming languages and frameworks (e.g., TensorFlow/keras, PyTorch/torch) is required. Python is preferred for production-level code, but R or SAS experience is also great.
  • Proficiency in using AI for code enhancement and problem-solving, coupled with strong prompt engineering and responsible "human in the loop" practices for code validation and deployment. If you're already using AI tools like ChatGPT, Gemini, or Claude to write or refine code, you have the mindset we’re looking for.
  • Clear communication skills and the ability to collaborate across teams.
  • Eagerness to learn and contribute in a fast-paced, team-oriented environment.

Why Intern at Inmar Intelligence

  • At Inmar, our Summer Intern Program offers more than a foot in the door—it’s a chance to dive into real-world projects in fast-moving industries like healthcare, retail, and digital commerce. You’ll work alongside experienced professionals, gain hands-on experience in AI, automation, and data strategy, and see how innovation shapes the future of business.
  • We provide a collaborative, inclusive environment where your ideas matter. Through mentorship, cross-functional networking, and resume-worthy projects, you’ll grow both personally and professionally. Interns also benefit from ongoing learning support and access to career pathways.
  • At Inmar, we value diverse perspectives, champion community impact, and believe in turning potential into purpose. Join us and make this summer count.

We are an Equal Opportunity Employer, including disability/vets.

Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.
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Hourly Wage Estimation for Data Science Intern, Summer 2026 in Winston, NC
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