Research Scientist

Short Summary

Research Scientist with NielsenIQ. Develop and apply machine learning innovations to business problems with minimal technical supervision. Assess your own and others’ results to understand their applicability in the real world. Understand stakeholders’ requirements and communicate results and conclusions accurately, clearly and winsomely. Perform feasibility studies and analyze data to determine the most appropriate…

Key Details

• Position / opportunity: Research Scientist
• Organization: NielsenIQ
• Country / coverage: India
• Location: Chennai, TN, India
• Work arrangement: On-site
• Opportunity type: Volunteer opportunities
• Sector: Education
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-08-04
• Application deadline: Not specified

Description

Develop and apply machine learning innovations to business problems with minimal technical supervision. Assess your own and others’ results to understand their applicability in the real world. Understand stakeholders’ requirements and communicate results and conclusions accurately, clearly and winsomely. Perform feasibility studies and analyze data to determine the most appropriate solution. Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Maintain and develop data and software with high-quality standards and minimal defects. Collaborate with technical colleagues on the integration and deployment of ML solutions. Encourage team building, motivation and cultivate effective team relations. Bachelor’s degree in computer science or an equivalent numerate discipline Bachelor’s degree in computer science or an equivalent numerate discipline Demonstrated senior-level experience in Machine Learning and Deep Learning using Pytorch Experience performing EDA with large datasets and writing production-grade code Ability to understand scientific papers and develop the idea into executable code Analytical mindset, problem solving and logical thinking capabilities A high level of interpersonal and presentation skills in English across cultures Strong ability to meet deadlines. Keen to work as part of a diverse team of international colleagues and in a global inclusive culture Python, Pytorch, Git, pandas, sklearn, huggingface A minimum of 3–5 years’ experience with evidence in a related ML field Good to Have: Master's degree and/or specialization courses in ML/DL/NLP. PhD in science is an added value. Experience in MLOPs Understanding and practice of Generative AI (prompt engineering, RAG). A practical grasp of databases (SQL, ElasticSearch) and Databricks Experience in retail, consumer, ecommerce, business, FMCG domain. Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. Recharge and revitalize with help of wellness plans made for you and your family. Plan your future with financial wellness tools. Stay relevant and upskill yourself with career development opportunities 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://nielseniq.com/global/en/info/niqs-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 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…

Responsibilities

• Develop and apply machine learning innovations to business problems with minimal technical supervision.
• Assess your own and others’ results to understand their applicability in the real world.
• Understand stakeholders’ requirements and communicate results and conclusions accurately, clearly and winsomely.
• Perform feasibility studies and analyze data to determine the most appropriate solution.
• Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
• Maintain and develop data and software with high-quality standards and minimal defects.

Requirements / Eligibility

• and communicate results and conclusions accurately, clearly and winsomely.
• Perform feasibility studies and analyze data to determine the most appropriate solution.
• Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
• Maintain and develop data and software with high-quality standards and minimal defects.
• Collaborate with technical colleagues on the integration and deployment of ML solutions.

How To Apply

Use the Apply now button and follow the instructions on the application page.