About The Position

As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy. 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. 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.

Requirements

  • Professionals in the last six months of degrees in Maths, Data Science, Statistics, Actuarial Science, or related fields involving statistical analysis of large data sets. (Graduation December 2026)
  • Passionate about innovation and technology
  • Problem-Solving skills
  • Ability to effectively convey complex concepts to non-experts
  • Intellectual curiosity and persistence to find answers to questions
  • Eager to continuously learn and adapt to changing technologies and tools.
  • Good command of written and spoken English.
  • Good collaborative and interpersonal skills to communicate at all levels.

Nice To Haves

  • Preferred

Responsibilities

  • Assists on creating templates, summaries by exploring diverse data sets using tools such as Python/R/Excel and PowerPoint.
  • Collaborates with other Data Science team units.
  • Automate and develop solutions for existing processes.
  • Efficient and effective with basic guidance and coaching

Benefits

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