IT Intern

Samsonite•Edison, NJ

10h

About The Position

The IT Intern will collaborate with various IT teams at Samsonite Group to execute small, focused projects supporting Retail and E-commerce analytics. This role involves working with digital and data engineers, and analysts to develop data pipelines for Digital Commerce products and Snowflake, model retail datasets using SQL, and leverage Python with AI-assisted development for efficient delivery, testing, and documentation. The intern will also gain practical experience in building and deploying AI agents for automating repetitive tasks and creating lightweight machine learning models for forecasting and prediction, progressing from a sandbox environment to controlled production pilots. The internship's success will be measured by the delivery of production-ready ingestion pipelines, curated retail data models, an automated data quality suite, at least one deployed AI agent, and a documented forecasting/prediction prototype, along with comprehensive documentation and a final demonstration of improvements.

Requirements

Candidate must be enrolled/actively pursuing a degree in an IT-based field.
High School diploma required.
Working knowledge of SQL (joins, aggregations; window functions preferred).
Python basics (pandas, file/JSON handling, API calls).
Strong attention to detail.
Ability to learn fast.
Clear communication and documentation mindset.
Great organization skills.
Time management skills.
Excellent communication skills.
Ability to work independently and as part of a team.

Nice To Haves

Exposure of ecommerce concepts (orders, promotions, returns, inventory, POS).
Interest in retail/ecommerce data and data engineering.
Exposure to Snowflake or any cloud data warehouse.
Basic ML familiarity (time series, regression, evaluation metrics).
Familiarity with dbt, Airflow, or orchestration tools.
Git/version control.
Interest in AI/LLM concepts, evaluation, and safe automation patterns.

Responsibilities

Work with various teams across the IT department to deliver small, well-scoped projects supporting Samsonite Group’s Retail and E-commerce analytics.
Collaborate with digital engineers, data engineers, and analysts to build pipelines in Digital Commerce products and Snowflake.
Model retail datasets using SQL.
Utilize Python Plus AI-assisted development to accelerate delivery, testing, and documentation.
Build and deploy AI agents to execute repeatable tasks at scale with safe guardrails.
Build lightweight ML models for forecasting and prediction (e.g., demand/sales forecasts, propensity indicators).
Build or enhance ingestion for common retail feeds and implement Snowflake loading patterns.
Create curated analytics-ready tables from raw feeds using SQL.
Support omnichannel reporting by connecting various internal and external retail data elements.
Implement retail-relevant data quality checks (uniqueness, referential integrity, anomaly detection) and build an agent to automate quality checks and reporting.
Participate in system and integration testing for various departmental initiatives.
Design and prototype predictive models using curated datasets, including feature set definition, testing approach, model training/evaluation, forecast output, and basic explainability.
Deliver production-ready ingestion pipelines into Snowflake (raw staging).
Deliver curated retail data models (fact/dim tables).
Deliver a data quality suite with automated checks (SQL and Python).
Deliver at least one deployed agent that executes repeatable tasks at scale (logging and guardrails).
Deliver one forecasting/prediction prototype with documented accuracy.
Produce comprehensive documentation including data dictionary, pipeline runbook, lineage, and model card.
Conduct a final demo showcasing measurable improvements (quality, timeliness, usability, or forecast accuracy).