Senior Research Scientist

Description

The company is a consumer intelligence firm that merged with GfK in 2023 and operates in more than 100 markets, covering over 90% of the world's population.

Since 1923 the company has measured markets for makers of food, health, hygiene, tech and durable products, and this role supports strategic global projects with state-of-the-art AI and ML research.

The team is a diverse group of international professionals.

The work centres on assessing current techniques and applying them to large-scale problems, mainly in NLP.

Success depends on building relationships and understanding the business context you are working in.

The role suits someone with deep machine learning knowledge who can present clearly to non-technical audiences.

Responsibilities

• Build and apply machine learning methods to business problems with little direct supervision.
• Evaluate your own and colleagues' results to judge whether they hold up in practice.
• Understand stakeholder needs and share results and conclusions clearly, accurately and persuasively.
• Run feasibility studies and analyse data to identify the most suitable solution.
• Handle a wide range of data challenges while balancing simplicity, scalability, reproducibility and maintainability in models and code.
• Keep data and software at a high standard with few defects.
• Work with technical colleagues to integrate and deploy ML solutions.
• Build team cohesion and motivation and foster good working relationships.

Requirements

• Bachelor's degree in computer science or a comparably numerate discipline.
• Senior-level experience in machine learning and deep learning using Pytorch.
• Experience with exploratory data analysis on large datasets and writing production-grade code.
• Ability to read scientific papers and turn their ideas into executable code.
• Analytical mindset, problem-solving skills and logical thinking.
• High-level interpersonal and presentation skills in English across cultures.
• Strong ability to meet deadlines.
• Willingness to work in a diverse team of international colleagues within a global, inclusive culture.
• Skills in Python, Pytorch, Git, pandas, sklearn and huggingface.
• At least 7 years of experience in a related ML field, with evidence to show it.
• Good to have:
• Master's degree and/or specialised courses in ML, DL or NLP. A PhD in a science field is an added value.
• Experience in MLOps.
• Understanding and practical use of Generative AI, including prompt engineering and RAG.
• Practical knowledge of databases (SQL, ElasticSearch) and Databricks.
• Experience in the retail, consumer, ecommerce, business or FMCG domains.

Conditions

The company may use AI tools at several recruitment stages, such as résumé screening, candidate assessment, interview scheduling and job matching, with final hiring decisions made by humans.

The company regularly reviews these tools to reduce bias and ensure legal compliance.

The company is committed to diversity, equity and inclusion.

Benefits

• Flexible working environment.
• Peer-to-peer recognition platforms.
• Wellness plans for you and your family.
• Financial wellness tools.
• Career development and upskilling opportunities.
• Volunteer time off.
• LinkedIn Learning access.
• Employee Assistance Program (EAP).