Data Science Intern

Join our team of more than 34,000 team members, supporting our members and communities in our Club Support Center, 235+ clubs and eight distribution centers. BJ’s Wholesale Club offers a collaborative and inclusive environment where all team members can learn, grow and be their authentic selves. Together, we’re committed to providing outstanding service and convenience to our members, helping them save on the products and services they need for their families and homes.

The Benefits of working at BJ’s

•        BJ’s pays weekly

•        Eligible for free BJ's Inner Circle and Supplemental membership(s)*

•        Generous time off programs to support busy lifestyles* 

                      o Vacation, Personal, Holiday, Sick, Bereavement Leave, Jury Duty

•        Benefit plans for your changing needs*

                      o Three medical plans**, Health Savings  Account (HSA), two dental plans, vision plan, flexible spending ​

•        401(k) plan with company match (must be at least 18 years old)

*eligibility requirements vary by position

**medical plans vary by location

BJs Wholesale Club, Summer Intern Program  

Join the Club as a Summer Intern and kickstart your career.   

Our internships are rooted in individual growth, professional development, business exposure and project ownership. Interns primarily spend their time focused on their assigned area of the business. Throughout the summer, intern program managers will host a variety of development focused activities to enhance professional development, provide exposure to all aspects of our business, and engagement events with fellow interns.  

Data Science Intern 

Program Summary 

• Duration: 11 weeks, Summer 2025 Dates: June 2nd – August 15th  

• Site Visits 

• Weekly IKE Sessions (Information Knowledge Exchange) with Senior leadership  

• Skills Workshops  

• Weekly Coffee Chats + Coffee with the CEO 

• Final projects and presentations  

• Engagement events 

Job Summary 

• Engage in preparing and cleaning data for analysis, building and training machine learning models using AWS SageMaker, and designing and conducting A/B tests. 

• Analyze test results to draw insights, collaborating with team members, and communicating findings to both technical and non-technical stakeholders. 

• Continuously learn and upgrade skills, maintain thorough documentation of work, and employ critical thinking for problem-solving and innovation in projects. 

Qualifications 

• Able to work hybrid schedule in Marlborough, MA. Onsite Tuesday, Wednesday, Thursday.  

• Actively enrolled in an undergraduate program, masters program, etc. 

• Preferred majors: Analytics, Data Science, Computer Science. 

• Proficient in PySpark, AWS, AB t