Data Science Intern, Summer 2027

The J.M. Smucker Co.; United States; Remote; USD 29,000 - 36,000; Full time

Benefits offered by this job

Leadership networking

Professional development

Paid holidays

Job summary

The J.M. Smucker Co. is seeking a Data Science Intern to support data-driven decision-making across sales and marketing. You will analyze large datasets, build models, and communicate insights through dashboards while collaborating with cross-functional teams.

Join a Fortune 500 company to apply your statistical and ML skills in a real-world setting and grow professionally through mentorship and hands-on projects.

Qualifications

• Enrolled in a graduate program (MS/PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Economics, Engineering, or related quantitative field.
• Strong foundations in statistical modeling, machine learning, forecasting, and data analysis.
• Proficiency in at least one DS language (Python, R, SQL).
• Familiarity with data visualization tools and storytelling with data.
• Good communication skills for presenting technical concepts to non-technical stakeholders.

Responsibilities

• Collect, clean, and analyze large datasets from multiple sources using statistical and programming techniques.
• Interpret data to generate actionable insights and communicate findings via dashboards and presentations.
• Apply supervised and unsupervised ML techniques to real-world sales problems.
• Collaborate with cross-functional teams to support issue resolution and improvement opportunities.
• Grow technical and professional skills while building relationships across the organization.

Skills

Statistical modeling

Machine learning

Data analysis

Programming (Python/R/SQL)

Data visualization stories

Communication

Education

Graduate program in Statistics/Applied Math/Data Science/CS/Economics/Engineering

Tools

Python

R

SQL

Tableau/Power BI

Matplotlib/ggplot

Job description

Your Opportunity as a Data Science Intern

As a Data Science Intern on our Data Science team, you will play a key role in supporting data-driven decision-making across sales, marketing and other business-critical processes. This is an opportunity to apply your analytical, statistical, and technical skills in a real-world environment, directly impacting sales strategies.

Location: Remote

Work Arrangements: Remote

In This Role, You Will

• Collect, clean, and analyze large datasets from multiple sources using statistical and programming techniques.
• Interpret complex data to generate actionable insights and effectively communicate findings through dashboards, visualizations, and presentations.
• Apply statistical modeling and machine learning techniques (both supervised and unsupervised) to solve real-world business problems in the sales domain.
• Collaborate with cross-functional teams to support issue resolution, identify proactive improvement opportunities, and contribute to business outcomes.
• Enhance your technical, analytical, and professional skills while building meaningful relationships across the organization.

What We Are Looking For

• Enrolled in a graduate program (MS, PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong foundational knowledge in statistical modeling, machine learning (e.g., regression, classification, clustering), forecasting, and data analysis.
• Proficiency in at least one programming language used in data science (e.g., Python, R, SQL).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, ggplot) and an ability to tell compelling stories with data.
• Relevant coursework completed, including but not limited to:
  • Statistical Methods (e.g., Applied Statistics, Regression Analysis, Bayesian Statistics)
  • Machine Learning (e.g., Supervised and Unsupervised Learning, Neural Networks, Deep Learning)
  • Programming and Data Wrangling (e.g., Python for Data Science, Data Manipulation with R, SQL for Data Analysis)
  • Data Visualization and Communication (e.g., Data Storytelling, Advanced Visualization Techniques)
  • Domain-Specific or Advanced Topics (e.g., Time Series Analysis, Forecasting, Optimization Techniques, Econometrics)
• Strong problem-solving skills with the ability to "connect-the-dots" across data and business needs.
• Good communication skills for presenting technical concepts to non-technical stakeholders.

Application Period

• Application period closes on December 7th, 2026

Why Choose the J.M. Smucker Company’s Internship Program?

Are You Seeking An Exceptional Internship Experience At a Fortune 500 Company? At Smucker, We Are Dedicated To Providing a World-class, Award-winning Internship That Offers You The Opportunity To

• Learn: Unlock your potential in a collaborative and supportive environment where you are treated like a true peer and challenged to be your best.
• Grow: Benefit from hands-on training with a dedicated mentor and connect with peers and leaders throughout the company.
• Lead: Contribute to high-profile projects that support our Company’s growing categories like snacks, coffee and pet food.

Additional Perks

• Unique opportunities to network and interact with company leadership
• Customized professional development sessions
• A competitive compensation package, including paid corporate holidays
• Compensation range: $21/hr - $26/hr (Actual hourly rate is determined based upon the year of college that will be completed at the start of the internship)

Experience an internship where you can learn, grow, and lead — all while being part of something special at Smucker.

The Right Place for You

We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.

Stay connected with us on LinkedIn

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.