Data Science and Business Analytics Intern

LOCATION: Alpharetta, GA

INTERN PROGRAM: May 17, 2027 - August 6, 2027

DESCRIPTION

Mativ is currently searching for a Data Science & Business Intelligence Intern to join our team for Summer 2027. This internship offers talented college students the opportunity to develop their advanced data science skills while supporting Mativ’s strategic objectives.

The Mativ Summer Internship Program is scheduled to run from May 17, 2027, through August 6, 2027. Our paid internship offers a well-rounded experience including meaningful work, a dedicated intern manager, community service, professional development, and more.

RESPONSIBILITIES

• Enable and work with the BI team to build new capabilities in the Azure Cloud Environment and Power BI front-end environments.

• Develop models to build solutions to tackle real-world business problems.

• Understand software development lifecycle and work in a professional environment.

• Assist with developing a library containing all the features currently engineered.

• Participate in meetings across business and IT to develop business requirements.

• Build networking relationships and receive mentoring from team members and top-level management.

• Communicate findings and project status clearly and professionally through presentations.

• Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high-quality analytics solutions.

• Apply a wide variety of database applications and analytical tools, including SQL, Qlik View and Qlik Sense.

• Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.

• Interact with product and service teams to identify questions and issues for data analysis and experiments.

• Communicate your analysis findings to product, service, and business managers.

• Learn the existing models developed by the Digital group and help standardize them using pipelines.

• Understand the manufacturing process and common data manipulation tasks.

QUALIFICATIONS

Required:

• Pursuing a bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.

• Minimum GPA 3.0.

• A proficient understanding of Python-based object-oriented programming.

• Experience with software and model engineering concepts such as versioning, model deployment and model retraining.