Technical Intern, Data Engineering & AI

HERE Technologies•Chicago, IL

20h

About The Position

We are seeking a highly motivated and technically curious Technical Intern to join our Central Analytics team as part of the COO AI Program. This role sits at the intersection of data engineering, analytics, and artificial intelligence, supporting HERE’s enterprise transformation through AI-enabled data products and workflows. As a Technical Intern, you will work closely with data engineers, analysts, and transformation leaders to design and build end-to-end data pipelines, curate datasets, and develop AI-driven solutions that enable intelligent decision-making across the organization. You will gain hands-on experience across the full data lifecycle from ingestion and transformation to AI-powered insights and workflow automation. This is an excellent opportunity for a student looking to gain hands-on experience in data engineering and AI within a dynamic and growing organization. You will work on meaningful projects aligned to HERE’s enterprise transformation initiatives and gain exposure to cutting-edge technologies and real-world business applications.

Requirements

Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Data Science, Engineering, Information Systems, or a related field
Strong analytical and problem-solving skills with an interest in data and AI
Foundational knowledge of programming (e.g., Python, SQL)
Strong written and verbal communication skills
Ability to work independently and collaboratively in a fast-paced, cross-functional environment
Attention to detail and commitment to delivering high-quality work

Nice To Haves

Understanding of basic data concepts such as data pipelines, data modeling, or ETL/ELT processes is a plus
Interest or exposure to cloud platforms, analytics tools, or data visualization tools (e.g., Power BI) is a plus
Curiosity about AI/GenAI and how it can be applied to real-world business problems

Responsibilities

Build and maintain data pipelines to ingest, transform, and integrate structured and unstructured data from multiple sources
Develop curated datasets and data models that support analytics and AI use cases
Apply data engineering principles to clean, enrich, and validate datasets, including implementing basic data quality checks
Support the development of AI/GenAI prototypes, such as natural language query interfaces, insight generation, or retrieval-based solutions
Contribute to the design of agentic workflows that automate repeatable tasks and enhance business processes
Document data flows, metadata, and lineage to support transparency, governance, and reproducibility
Collaborate with cross-functional teams to understand business problems and translate them into data and AI solutions
Assist in building dashboards, notebooks, or APIs to enable consumption of data products
Participate in project discussions and provide updates on progress, findings, and outcomes
Support the preparation of demo materials and final deliverables, including architecture diagrams and solution summaries
Other duties as assigned by the Central Analytics and COO AI Program teams