Data Science Intern

NielsenIQ

Posted 7 days ago

Internship

Chicago, Illinois

In Person

Smart Summary

Responsibilities

Support analytical workstreams by cleaning and validating multi-sourced datasets to identify trends and outliers. Build and automate repeatable analysis pipelines and reporting outputs using Python and SQL.

Qualifications

You are currently pursuing a Bachelor's or Master's degree in a quantitative field with an expected graduation in 2027 or later. You possess coursework or project experience in statistics, data analysis, or machine learning, and have working knowledge of Python and/or SQL for data manipulation and analysis.

Must Have Skills for ATS

Python

SQL

pandas

numpy

Tableau

Git

Job Description

Job Description

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. 

What You’ll Do 

  • 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. 

What You’ll Learn 

  • How trusted data assets and measurement concepts are used to answer business questions in retail and consumer insights. 

  • Best practices for data quality checks, reproducible analysis, and clear analytical storytelling. 

  • Hands‑on experience with real-world, large-scale datasets and common data science workflows. 

  • How to collaborate in an agile, cross‑functional environment and communicate progress and results. 

Qualifications

Qualifications 

  • 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  

Skills 

  • Working knowledge of Python (pandas, numpy) and/or SQL for data 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. 

  • Bonus: familiarity with visualization tools (e.g., Tableau, Power BI) or version control (e.g., Git). 

Additional Information

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

  • Compensation: USD 0 - USD 0 - monthly
  • NielsenIQ

    NielsenIQ (NIQ) is one partner for all your digital measurement and activation needs. Fuel your omnichannel retail strategy with the world's largest consumer intelligence provider. Measure your digital performance and track online consumer behavior & casuals. Optimize search performance, activate marketing & e-retail strategies, and optimize your digital shelf. One partner. The Full View™.

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