|
Position:
FP&A Data Science/Data Engineering Intern
|
|
Job Id:
280
|
# of Openings:
1
|
|
Title: FP&A Data Science/Data Engineering Intern
Reports To:
Data Scientist
Location:
Purchase, NY
FLSA Status: Non-Exempt
Salary: $23/hour
Who We Are:
Triton International is the world's largest lessor of intermodal containers with an owned and managed container fleet of more than 7.0 million twenty-foot equivalent units. We provide our customers with efficiency and certainty in an unpredictable world. Our customers depend on our extensive worldwide network and large equipment inventory to meet their needs and help keep global commerce moving forward. We are guided by our values of integrity, reliability, creativity, excellence, teamwork, and long-term view, alongside core competencies that foster a culture of leadership, innovation, and sustainable growth. Together, these principles empower our team, driving our continued success and cementing our position as an industry leader.
About Our Internship:
Triton's Internship Program is a paid opportunity for talented and qualified individuals to gain real world, resume-building experience at a globally diverse, industry-leading company. Over the duration of 10-12 weeks, our interns work alongside and learn from some of the best executives in the supply-chain and intermodal equipment leasing sectors.
Why You'll Love This Job:
As part of the Triton Team you will play an integral part in our mission "to support the supply chains that connect the world."
- Impact: Contribute to meaningful projects that make a difference in the global supply chain.
- Growth: Take advantage of professional development opportunities and grow with us. A successful internship could lead to a potential full-time hire if an opportunity opens up in the future for a Staff level position.
- Culture: Be part of a supportive, innovative, and diverse team where your ideas are valued.
What You'll Do:
We are seeking a motivated Data Science / Data Engineering Intern with strong analytical thinking, solid technical fundamentals, and a willingness to learn. This role offers a unique opportunity to blend data engineering best practices with data science/analytics to improve reporting, automate processes, and enable self-serve insights across the business.
You will help build and maintain analytics-ready datasets, develop repeatable extraction/transform workflows, and support the evolution of reporting from legacy tools to modern dashboards and data products.
Key responsibilities will include:
- Assisting in designing and building data pipelines (extract, transform, validate) that power dashboards and recurring reporting.
- Leveraging LLM's to write and optimize SQL to pull, join, and transform data from enterprise systems and reporting sources.
- Leveraging LLM's to write and optimize Python (e.g., pandas) to clean data, standardize definitions, and automate repeatable workflows.
- Supporting the creation of Streamlit and/or ThoughtSpot dashboards to enhance reporting usability and speed.
- Help organize and move key datasets into the data warehouse to improve access to historical data and support automated reporting.
- Contributing to data quality and reconciliation checks (e.g., tie-outs to source systems, anomaly flags, validation rules).
- Assisting with exploratory analysis and prototyping of leading indicators and business-driver relationships (as needed for forecasting and decision support).
- Documenting assumptions, logic, and definitions so others can trust and reuse the work.
What We're Looking For:
- Rising senior, recent graduate or graduate student pursuing a degree in Data Science, Computer Science, Statistics, Applied Math, Engineering, Business Analytics, Economics or related field(s).
- Familiarity with SQL (joins, aggregations; window functions a plus).
- Familiarity with Python for data analysis (pandas preferred).
- Interest in data engineering concepts: ETL/ELT, data modeling, validation, reproducibility, and performance.
- Interest in developing dashboards using Streamlit and/or ThoughtSpot (experience a plus, not required).
- Strong analytical, problem-solving, and communication skills.
- Ability to adapt quickly to new tools, data sources, and project priorities.
- Interest in exploring new ETL tools, best practices, or emerging trends to improve data processes.
- Ability to commit to 37.5 hours/week from June 8th - August 14th, 2026.
- Must be at a commutable distance (within 50 miles) to the Purchase, NY office
- Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
You'll Succeed Here If You Are:
- Aligned to Triton's company values which includes Integrity, Reliability, Creativity, Excellence, Teamwork and Long-term view
- A strong written and oral communicator with exceptional interpersonal and collaboration skills, possessing the ability to work across a diverse array of teams
- Experienced and comfortable interacting with individuals across all levels within the organization
- Receptive and supportive of change, with a demonstrated desire to learn and show initiative
What We Offer:
- Learning and development opportunities
- Exposure to international teams, markets, and cultures
- Hybrid working schedule of 4 days in the office (Monday - Thursday in office, Friday from home)
*
This is a paid internship. The expected hourly rate for this role is $23/hour.
How to Apply:
Ready to join our team? Visit our career's portal at https://www.tritoninternational.com/careers
We look forward to hearing from you!
Triton is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status.
|
Apply for this Position
|
|
Triton International
Mar 02, 2026 