Data Science Intern
Listed on 2026-10-23
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Inmar Intelligence provides data-driven technology and solutions that help businesses operate more efficiently across retail, healthcare, and digital commerce. Our teams work collaboratively to solve complex business challenges through technology, analytics, and innovation. At Inmar, we foster a High Challenge, High Support environment grounded in collaboration, continuous improvement, and a Customer First mindset.
About This OpportunityInmar Intelligence is seeking a part-time Data Science Intern to support the Mar Tech Data Science team. This position provides an opportunity to gain practical experience while contributing to ongoing data science and analytics initiatives. The Mar Tech Data Science team designs, develops, and deploys data science and engineering solutions supporting Inmar's media and incentives businesses. The intern will assist with data pipelines, machine learning models, and analytics solutions that support business needs and product development.
WhatYou'll Do
Assist in developing and maintaining reusable components for data transformation, feature extraction, and model deployment using cloud technologies, primarily Google Cloud Platform. Support the development and deployment of machine learning models and analytics pipelines. Collaborate with internal teams to develop data-driven solutions for business and product needs. Assist with ad-hoc analyses and identify opportunities to improve or standardize recurring analytical processes.
Utilize AI tools to support coding, analysis, and problem-solving while following appropriate validation and review practices. Contribute to ongoing team projects and technical documentation as needed.
Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Data Engineering, Computer Science, or a related quantitative field. Experience with SQL and cloud-based data platforms, preferably Google Cloud Platform. Experience with AWS, Azure, or Spark is also relevant. Experience with statistical programming languages and machine learning frameworks, including Python, R, SAS, Tensor Flow, or PyTorch. Familiarity with AI-assisted coding and problem-solving tools, including appropriate validation and review practices.
Strong analytical, organizational, communication, and problem-solving skills. Ability to work independently and collaboratively with cross-functional teams. Ability to work part-time onsite in Winston-Salem, NC, while enrolled in an academic program.
This part-time internship provides an opportunity to apply academic knowledge in a professional setting while gaining experience with data science, machine learning, and cloud-based technologies. Interns work alongside experienced professionals, contribute to ongoing projects, and develop technical and professional skills through practical experience and collaboration. The position is designed to accommodate continued academic enrollment while providing meaningful work experience during the school year.
We are an Equal Opportunity Employer, including disability/vets.
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.
HELP US MAKE BUSINESSES SMARTER TO IMPROVE CONSUMERS' LIVES. Through curiosity and the intelligent use of data and technology, we uncover valuable insights that make it easier for businesses to understand, predict and meet the personalized needs of consumers - so they can live their lives to the fullest.
Are you looking for work that matters, and a career where you can use your expertise and passion to make a difference? Then you might be the right person for one of these open positions.
We are an Equal Opportunity Employer, including disability/vets.
If you need accommodations completing the job application, please contact at or call .
To see other employment opportunities we currently have at Inmar, please visit our career page
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