Junior Data Scientist

NielsenIQ; Kuala Lumpur; On-site; MYR 36,000 - 54,000; Full time

Job summary

A global data analytics firm in Kuala Lumpur seeks a Junior Data Scientist to support their Data Operations team. The position emphasizes building foundational datasets for market insights. Key responsibilities include executing surveys, automating processes, and collaborating with stakeholders. Ideal candidates should possess proficiency in SQL and Python, along with a strong attention to detail. Fresh graduates are encouraged to apply, making this a prime opportunity for those looking to enter the data science field.

Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Qualifications

• Proficiency in SQL.
• Proficiency in Python.
• Strong attention to detail and ability to work accurately with large datasets.
• Fresh graduates are welcome; no prior commercial experience required.

Responsibilities

• Execute Retail Establishment Survey (RES) Design, Validation, and Universe Estimation.
• Provide ideas, innovate and automate processes to eliminate challenges.
• Learn and utilize global tools for standardization of process.
• Participate in testing tools and documentation of processes.
• Engage with stakeholders on client queries and requirements.

Skills

SQL

Python

Attention to detail

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a quantitative field

Job description

Company Description

We are looking for a Junior Data Scientist to join our Data Operations team supporting the China Retail Measurement Services (RMS) business. This role focuses on building and maintaining the foundational datasets that power market insights delivered across NielsenIQ. You will work closely with our Shanghai‑based team to support data cleaning, validation, and preparation for core RMS deliverables.

This is an excellent opportunity for a detail‑oriented, analytical individual who wants to gain hands‑on experience with large, real‑world data sets and grow in a supportive and open team culture.

Job Description

This is an excellent opportunity for a detail‑oriented, analytical individual who wants to gain hands‑on experience with large, real‑world data sets and grow in a supportive and open team culture.

• Execute Retail Establishment Survey (RES) Design, RES Validation, Universe Estimation, Universe Update and Panel Sample Design, as per the plan and with no quality escapes
• Provide ideas, Innovate and automate processes and tools to bring efficiency and eliminate legacy challenges
• Learn and utilize the global tools to ensure standardization of process
• Participate and contribute to the testing of tools and documentation of processes
• Automation and development of solutions for existing processes with supervision
• Engage and align with stakeholders on client queries and requirements of new estimates and designs

Qualifications

• Proficiency in SQL
• Proficiency in Python
• Strong attention to detail and ability to work accurately with large datasets
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or another quantitative field
• Fresh graduates are welcome; no prior commercial experience required

Benefits

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

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 https://nielseniq.com/global/en/news-center/diversity-inclusion