Encapsys R&D Data Analyst Co-op

Appleton, WI - USA

Monthly Salary: Not Disclosed

Posted on: 27-10-2025

Vacancies: 1 Vacancy

Job Summary

Milliken & Company is a global manufacturing leaderwhose focus on materials science delivers tomorrows breakthroughs today. Fromindustry-leading molecules to sustainable innovations Milliken creates products thatenhance peoples lives and deliver solutions for its customers and communities. Drawing on thousands of patents and a portfolio with applications across the textile flooring chemical and healthcare businesses the company harnesses a shared sense of integrity and excellence to positively impact the world for generations. Discover more about Millikens curious minds and inspired solutions at and on Facebook Instagramand LinkedIn.

Encapsys () now a part of Milliken & Company () is looking to hire student intern and co-ops for the 2026 calendar year to join our team in Appleton WI. This is a competitively paid position being offered to students in a Data Science Statistics Applied Mathematics Computer Sciences Chemical Engineering Material Science/Engineering or Chemistry program. Students are also offered a special benefits package which includes a housing allowance and paid time off.

Encapsys operates in the specialty chemicals industry. Holding over 75 encapsulation patents Encapsys is a global leader in encapsulation technologies within three primary business segments Fragrance Phase change and Agriculture. Encapsys operates highly scalable encapsulation processes that deliver superior products.

Encapsys takes pride in providing students with opportunities to build strong resumes through matching individual interests with available projects.Encapsys provides projects with a high level of responsibility that have strong impacts on the bottom line. Students will work on both collaborative and independent projects in conjunction with the engineer/scientist project leaders. Each student is assigned a mentor to provide guidance through the processes of training developing and contributing.

Research and development plays a vital role in our position as a leader in the encapsulation market. Ongoing investment in R&D will continue to enable us to develop core competencies in encapsulation processes and applications and grow our business with new and existing customers.

Typical job duties for a Data Analyst Co-op include:

Support R&D teams by collecting cleaning and analyzing experimental and operational data to drive innovation and product development.

Assist in the development and automation of structured and unstructured data pipelines and workflows using tools such as Python SQL Excel BI NLP libraries or ML frameworks and API integration.

Develop and maintain dashboards reports and visualizations to communicate key insights to technical and non-technical stakeholders.

Collaborate with scientists engineers and product managers to identify data needs and design data workflows that ensure accuracy integrity and usability of laboratory data.

Apply statistical methods and predictive modeling to support experimental design product development and commercialization processes.

Develop and apply AI and machine learning models to identify/interpret trends predict outcomes and relationships in complex data sets.

Document data sources methodologies and findings to ensure reproducibility and knowledge sharing across teams.

Participate in cross-functional meetings and contribute to problem-solving discussions with data-driven insights.

Education experience and qualifications:

Educational background includes individuals earning their B.S. or M.S. with at least a 3.00 GPA in any of the following programs rising Juniors and Seniors preferred:

Data Science Statistics Applied Mathematics

Computer Science Artificial Intelligence or Computational Sciences

Chemical Engineering Chemistry or Materials Science with strong data/AI coursework

Other supporting competencies include:

Apply engineering and scientific principles to projects and designs

Drive for results and self-motivated

Work collaboratively within a team environment and independently

Ability to work independently and manage time across multiple tasks

Communicate effectively

Analyze problems/issues and recommend potential solutions

Foster collaboration

Manage project execution

Use sound judgment

All employment is contingent on successful completion of a pre-employment drug screen and background check and be authorized to work in the United States on a full-time basis.

Milliken is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to actual or perceived race color creed religion sex or gender (including pregnancy childbirth or related medical condition including but not limited to lactation) sexual orientation gender identity or gender expression (including transgender status) ancestry national origin citizenship age physical or mental disability genetic information marital status veteran or military status or any other characteristic protected by applicable law.

To request a reasonable accommodation to complete a job application pre-employment testing a job interview or to otherwise participate in the hiring process please contact

Required Experience:

Typical job duties for a Data Analyst Co-op include:

Support R&D teams by collecting cleaning and analyzing experimental and operational data to drive innovation and product development.

Assist in the development and automation of structured and unstructured data pipelines and workflows using tools such as Python SQL Excel BI NLP libraries or ML frameworks and API integration.

Develop and maintain dashboards reports and visualizations to communicate key insights to technical and non-technical stakeholders.

Collaborate with scientists engineers and product managers to identify data needs and design data workflows that ensure accuracy integrity and usability of laboratory data.

Apply statistical methods and predictive modeling to support experimental design product development and commercialization processes.

Develop and apply AI and machine learning models to identify/interpret trends predict outcomes and relationships in complex data sets.

Document data sources methodologies and findings to ensure reproducibility and knowledge sharing across teams.

Participate in cross-functional meetings and contribute to problem-solving discussions with data-driven insights.

Education experience and qualifications:

Educational background includes individuals earning their B.S. or M.S. with at least a 3.00 GPA in any of the following programs rising Juniors and Seniors preferred:

Data Science Statistics Applied Mathematics

Computer Science Artificial Intelligence or Computational Sciences

Chemical Engineering Chemistry or Materials Science with strong data/AI coursework

Other supporting competencies include:

Apply engineering and scientific principles to projects and designs

Drive for results and self-motivated

Work collaboratively within a team environment and independently

Ability to work independently and manage time across multiple tasks

Communicate effectively

Analyze problems/issues and recommend potential solutions

Foster collaboration

Manage project execution

Use sound judgment

All employment is contingent on successful completion of a pre-employment drug screen and background check and be authorized to work in the United States on a full-time basis.

To request a reasonable accommodation to complete a job application pre-employment testing a job interview or to otherwise participate in the hiring process please contact

Required Experience: