Encapsys R&D Data Analyst Co-op

Encapsys (www.encapsys.com), now a part of Milliken & Company (www.milliken.com) 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.