Data Analytics Intern

At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

We actively look for prospects who:

• Are passionate about client success.

• Enjoy collaborating with others.

• Strive to exceed expectations.

• Move boldly in the quest for superior and best in market solutions.

Job Description:

This internship is ONSITE in Shelton, CT. Candidates must be able to work in person for the full 10‑week program.

A Pitney Bowes Internship prepares students for the rigors of the working world while providing a professional and engaging learning experience. Our internships offer meaningful work with the potential to directly impact our business (learn while doing). In addition to challenging work, interns grow their professional networks. From Day 1, they have the opportunity to network with fellow interns from schools across the country as well as PB employees at all levels of the organization.

Our vision is to offer undergraduate and masters students an engaging and thought-provoking learning experience while impacting our business in a meaningful way by:

• PROJECTS: Interns are spread throughout our businesses. Each intern manager will provide intentional learning objective goals and assign real-life projects to own and drive during the summer
• SUPPORT: Each intern will be paired up with a mentor who will provide guidance, support, and insight into The PB Way!
• PAY: The wage range for this position is $22 to $25 per hour, with the actual pay dependent on your, education level, skills and experience as they relate to the job requirements.
• JOB OFFERS: The intern program may only last 10-weeks, June 1st - August 7th, but we don’t want the experience to end there. Our top interns are often offered extended internships or future job opportunities at Pitney Bowes

Join the SendTech Engineering organization and work on real data projects that support logistics, ecommerce, shipping, and presort operations. You’ll build models, work with large datasets, and turn insights into solutions that help teams make smarter decisions.

You Will

• Meet with internal teams (and sometimes clients) to clarify needs and shape data questions.
• Build predictive and forecasting models using machine learning.
• Work with large datasets — cleaning, analyzing, and modeling to uncover insights.
• Code in Python using tools like Pandas, NumPy, Scikit‑learn, LightGBM, Plotly, and Prophet.
• Use structured workflows such as CRISP‑DM to guide your project steps.
• Present your findings in clear, visual formats for non‑technical audiences.
• Collaborate on prototypes and solutions that may support real operations.
• Explore big‑data environments including Snowflake, SQL databases, and cloud‑based tools.

You Bring

• Strong Python skills (required), especially with Pandas, NumPy, and ML libraries like Scikit‑learn or LightGBM.
• Experience building predictive or forecasting models through coursework or projects.
• Comfort with SQL and querying databases/big‑data tools (Snowflake, SQL Server, etc.).
• Bonus: Familiarity with visualization/storytelling tools (Power BI).
• Nice‑to‑have: Exposure to big‑data handling, time series, or geospatial data.
• Strong communication skills, problem‑solving mindset, and genuine curiosity.

We will:

• Provide the opportunity to grow and develop your career

• Offer an inclusive environment that encourages diverse perspectives and ideas

• Deliver challenging and unique opportunities to contribute to the success of a transforming organization

• Offer comprehensive benefits globally(PB Live Well)

Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.

All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.

All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.