You are viewing a preview of this job. Log in or register to view more details about this job.

Data Science Intern

Mativ
Email

Location: Alpharetta, GA

Summer Intern Program: May 18, 2026 – August 7, 2026

Description 

We are hiring talented college students for internships providing the opportunity to develop their advanced analytics and data science skills while supporting Mativ’s strategic objectives. The interns will also build networking relationships and receive mentoring from team members and top-level management.

The Mativ Summer Internship Program is scheduled to start on May 18, 2026 – August 7, 2026. Our paid internship offers well-rounded experience including meaningful work, a dedicated intern manager, community service opportunities, professional development and more. 

Responsibilities

Data Analytics

  • Enable and work with the BI team to build new capabilities in the Azure Cloud Environment and Power BI front end environments. 
  • Assist with developing documentation and repositories for the data models and dashboards engineered.
  • Interact with business and IT teams to identify questions and issues for data analysis and experiments.
  • Participate in multiple stages of analytics projects, including design, data integration, data modeling, and data visualization.
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create data-driven insights.
  • Work with a variety of data modeling, data visualization, and analytical tools including Power BI, Data Bricks, and programming languages like SQL, Python, and DAX.
  • Help maintain and optimize data pipelines and reporting infrastructure.

Business Intelligence

  • Design and develop models to build solutions to tackle real-world business problems.
  • Understand software development lifecycle and work in a professional environment.
  • Participate in meetings across business and IT to develop business requirements 
  • Work on data profiling activities to understand the quality and consistency of Mativ data.
  • Learn the existing models & visualizations developed by the data and analytics team and will help standardize those using pipelines.
  • Understand the manufacturing process and understand common data manipulation tasks.
  • Communicate findings and project status clearly and professionally through presentations.

Artificial Intelligence 

  • Enable and work with the Mativ Data & Analytics team to build new capabilities in the Azure, Databricks, Power BI, and Rapid Miner environments. 
  • Rigorously test models to evaluate performance and accuracy
  • Understand software development lifecycle and work in a professional environment.
  • Work with a variety of languages, data applications, and analytical tools including SQL, Python, DataBricks, ADLS, and MES and ERP systems.
  • Participate in multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling, and visualization.
  • Learn the existing models developed by the data and analytics team and help standardize those using pipelines.

QUALIFICATIONS:

Required:

  • Pursuing a Bachelor's Degree in Computer Science, Business Analytics, Information Technology, Mathematics, Data Science, or any related degree.  
  • Minimum GPA requirement of 3.0.
  • Experience with Excel and PowerPoint.
  • Understanding of data pipelines and data integration.
  • Experience with data governance and data modeling concepts.

Nice to have:

  • SQL, R, and Python and/or other Object-Oriented languages.
  • Software and data model engineering concepts such as versioning, model deployment and model retraining etc.
  • Python libraries experience such as Pandas, NumPy, MLFlow, Scikit-Learn, Matplotlib, Pytest, TensorFlow, and PyTorch.
  • Understanding of git workflows and CI/CD.
  • Experience creating and editing data visualizations using Power BI, Grafana, DataBricks or other BI Tools.
  • Strong analytical, organizational, presentation, and time management skills

Competencies:

  • Ideal candidates will possess high initiative and drive, with a curiosity to perpetually learn and improve our business.
  • Strong attention to detail.
  • High level of discretion when dealing with sensitive information.
  • Demonstrated oral and written communication skills.
  • Demonstrated ability to multi-task, perform in a fast-paced environment & respond quickly to situational needs as they arise.
  • Desire for continuous development and learning opportunities.
  • Ability to analyze information to find opportunities, effectively communicate, and work collaboratively in a team setting.

Note: The above statements are intended to describe the general nature and level of work being performed by the incumbent. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of this position.