Senior Research Scientist

Overview

We seek a Senior Research Scientist experienced in machine learning to join a dedicated and diverse team passionate about impactful work within the consumer intelligence industry. This role involves applying advanced artificial intelligence and machine learning techniques—especially in natural language processing—to solve large-scale business challenges. A successful candidate will combine technical excellence with strong communication skills, enabling clear presentations to non-technical stakeholders and understanding broader business contexts.

Responsibilities

• Innovate and implement machine learning methods on business problems with minimal supervision.
• Critically evaluate personal and peer results for real-world applicability.
• Engage with stakeholders to capture requirements and report findings effectively.
• Conduct data feasibility studies to identify optimal technical solutions.
• Address diverse data challenges focusing on simplicity, scalability, reproducibility, and maintainability within ML solutions and source code.
• Ensure high-quality code and data maintenance with minimal defects.
• Collaborate closely with technical teams for ML solution deployment and integration.
• Promote team cohesion, motivation, and strong working relationships.

Qualifications

• Minimum bachelor's degree in computer science or a related numerate field (master's or PhD preferred).
• At least 7 years of senior-level experience in machine learning and deep learning using PyTorch.
• Proficient in exploratory data analysis for large datasets and writing reliable production-quality code.
• Ability to comprehend scientific literature and translate concepts into executable code.
• Strong analytical reasoning, problem-solving skills, and logical thinking.
• Excellent interpersonal and presentation skills in English, capable of engaging diverse international audiences.
• Proven ability to adhere to timelines and work effectively within multicultural teams.
• Technical proficiency in Python, PyTorch, Git, pandas, scikit-learn, and Hugging Face libraries.
• Good-to-have knowledge: MLOps, generative AI (prompt engineering, retrieval-augmented generation), SQL, ElasticSearch, Databricks, and experience in retail, consumer goods, e-commerce, or FMCG sectors.

Additional Information & Benefits

• Work in a flexible and rewarding environment with peer recognition programs.
• Access to wellness plans supporting you and your family.
• Financial wellness resources to aid your future planning.
• Continuous professional growth through career development opportunities.
• Extra benefits include a flexible working environment, volunteer time off, LinkedIn Learning access, and an Employee Assistance Program.

About the Company

NielsenIQ is a global leader in consumer intelligence, providing comprehensive insights into consumer purchasing behavior to drive business growth. Following a 2023 merger with GfK, NielsenIQ now commands an extensive global reach, serving over 90% of the world's population through its advanced analytics and data platforms.

Diversity & Inclusion

We are deeply committed to building an inclusive workplace reflecting the diversity of our global markets. Employment decisions are made solely on merit without regard to protected characteristics. We welcome candidates who share these values to contribute to our culture and success.