Data Science & AI Analytics - Summer 2027 Internship Program
Requirements at a glance
Data Science & AI Analytics - Summer 2027 Internship Program at Panerabread is a role based in Newton Support Center. It does not mention visa sponsorship. Key skills include Python, SQL, and Machine learning. Applications are submitted through Workday.
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Workday
Skills in this posting
- Python
- SQL
- Machine learning
- Power BI
Highlighted skills appear in the posting's requirements.
Extracted automatically from the job description. Confirm details in the full posting below.
Data Science & AI Analytics Intern
Team: Data Engineering & Analytics
About the role
Our Data Engineering & Analytics team builds the data, reporting and AI that help Panera run its cafés and serve its guests. As an intern, you will work on real projects with real business impact, not side assignments. You will work alongside our data engineers, BI developers and analytics partners, and you will present what you built to leadership at the end of the internship.
What you’ll work on
- Demand forecasting: Help measure how accurate our sales and transaction forecasts are, compare models against a baseline, and explain the results in plain English.
- Conversational analytics and AI agents: Explore how conversational analytics and AI agents on Looker can help business users get answers from our data faster.
- Predictive and prescriptive analytics: Help build and test predictive and prescriptive analytics that go beyond reporting what happened to recommending what to do next.
- Data quality and governance: Profile key datasets, flag gaps or anomalies, and help document KPI definitions so everyone uses the same numbers.
- Insights and storytelling: Turn analysis into clear visuals and recommendations for business stakeholders.
What we are looking for
Must have
- Pursuing a degree in Data Science, Analytics, Computer Science, Statistics, MIS or a related field
- Working knowledge of SQL and Python
- Coursework or projects in statistics or machine learning
- Curiosity, ownership, and the ability to explain technical work simply
Nice to have
- Exposure to a cloud data platform (BigQuery, etc.)
- Experience with Looker or Power BI
- Familiarity with time-series forecasting
- Interest in restaurants, retail or consumer businesses
The actual pay offered will be determined by multiple factors, including but not limited to the candidate’s relevant experience, job-related knowledge, skills, and geographical location. Individual compensation decisions are dependent upon the facts and circumstances of each position and candidate.
Newton Support Center