Data Science Intern

NielsenIQ•Chicago, IL

About The Position

NielsenIQ’s North America Data Science team empowers clients to make bold decisions using trusted data, measurement science, and advanced analytics. As a Summer Intern, you’ll work alongside data scientists and cross‑functional partners to support real client and product initiatives—helping turn complex, multi‑sourced data into clear, actionable insights. You’ll build hands‑on skills in data preparation, exploratory analysis, statistical thinking, and automation while learning how analytics products are developed and delivered at scale.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering) with graduation expected in 2027 or later.
Coursework or project experience in statistics, data analysis, machine learning, or other relevant fields.
Permanent U.S. work authorization required; no Visa sponsorship available.
Working knowledge of Python (pandas, numpy) and/or SQL for manipulation and analysis.
Attention to data quality and detail.
Clear written and verbal communication; ability to explain findings to technical and non‑technical audiences.
Curiosity, a growth mindset, and a collaborative approach to problem solving.

Nice To Haves

Familiarity with visualization tools (e.g., Tableau, Power BI) or version control (e.g., Git).

Responsibilities

Support defined analytical workstreams by cleaning, joining, and validating multi‑sourced datasets.
Perform exploratory data analysis (EDA) to identify trends, outliers, and data quality issues; summarize findings for stakeholders.
Build and automate repeatable analysis pipelines or reporting outputs using Python and/or SQL.
Apply basic statistical techniques to measure performance, compare segments, or evaluate changes over time.