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 Opportunity
Inmar Intelligence is seeking a part-time Data Science Intern to support the MarTech Data Science team. This position provides an opportunity to gain practical experience while contributing to ongoing data science and analytics initiatives.
The MarTech 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.
What You'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.
Your Qualifications
- 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, TensorFlow, 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.
Why Intern at Inmar Intelligence
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.
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.
Skills Required
- 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.
- Experience with Google Cloud Platform.
- Experience with AWS, Azure, or Apache Spark.
- Experience with statistical programming languages or machine learning frameworks, including Python, R, SAS, TensorFlow, or PyTorch.
- Familiarity with AI-assisted coding and problem-solving tools, including 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, North Carolina, while enrolled in an academic program.
Inmar Intelligence Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Inmar Intelligence and has not been reviewed or approved by Inmar Intelligence.
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Healthcare Strength — Coverage begins on day one for medical, dental, and vision, alongside mental-health support and wellness initiatives. This breadth and immediacy can enhance perceived total rewards for many roles.
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Retirement Support — A clearly defined 401(k) match with immediate vesting is emphasized. This structure can add meaningful long-term value to compensation packages.
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Leave & Time Off Breadth — Flexible Time Off or robust PTO programs are highlighted, with paid holidays commonly referenced. These policies can improve overall work–life value when team norms support usage.
Inmar Intelligence Insights
What We Do
We reimagine everyday business challenges through advanced analytics, technology-enabled and market-driven solutions built to solve some of industries’ biggest obstacles to growth. Inmar Intelligence’s customer-centric approach is evident through our success helping companies dynamically engage audiences, build brand loyalty, create efficiencies and drive profitable growth. We help leading Fortune 500 companies and emerging brands stay relevant and propel growth while providing their consumers with personalized and precision-driven tools to save money, improve health and safety, and more conveniently go about their lives. For more than 35 years, we have served retailers, manufacturers, healthcare providers, government and employers as their trusted intermediary and helped them redefine innovation.








