Senior Research Scientist

We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques and applying them to large scale problems, mainly in the domain of NLP. To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience.  NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects.   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 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 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 opportunitiesOur BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)NIQ may utilize artificial intelligence (AI) tools at va...