Intern - Data Science at NielsenIQ

Ciudad de México, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

05 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Python, Statistics, Problem-Solving, Collaboration, Critical Thinking, Marketing Analytics, Experiment Design, Consumer Behavior Analysis, Interpersonal Skills, Intellectual Curiosity, Automation, Innovation, Adaptability, Communication, Coaching

Industry

Software Development

Description

Job Description Overview 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. What You’ll Do 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 Experience 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 July 2026) Qualifications Qualifications Soft skills qualifications 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. (Preferred) Analytical and Technical skills: Basic understanding of Statistics. Good aptitude for data analysis. Critical/ logical thinking. Experienced with programming languages such as Python Familiar with contemporary database systems. Familiarity with marketing analytics, including designing experiment and consumer behavior analysis. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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 Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook 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

Responsibilities

Assist in creating templates and summaries by exploring diverse data sets using tools such as Python, R, Excel, and PowerPoint. Collaborate with other Data Science team units and automate existing processes.