Research Scientist (GenAI/LLM)

NielsenIQ; Madrid; Presencial; EUR 70.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Descripción de la vacante

NielsenIQ is seeking a Research Scientist to join our applied research and innovation team in Madrid. You will analyze data,研究 models, and develop proof-of-concepts to solve large-scale real-world problems, emphasizing simplicity, scalability and maintainability.

You will collaborate with cross-functional teams, communicate results clearly, and contribute to deployment of ML solutions while maintaining high-quality code and processes.

Formación

• Bachelor's degree in Computer Science, Statistics, Maths or an equivalent numerate discipline.
• Hands-on expertise in Machine Learning, NLP, LLMs, GenAI, AgenticAI and data science.
• Understanding and practice of prompt engineering, RAG, document processing and fraud detection.
• EDA analysis and practical hands-on experience with datasets, ML models and evaluations.
• Python, PyTorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks.
• Analytical mindset, problem solving and logical thinking capabilities.
• Proactive attitude, constructive, intellectual curiosity and persistence to find answers to questions.
• A high level of interpersonal and communication skills in English and strong ability to meet deadlines.
• Keen to work as part of a diverse team of international colleagues and in a global inclusive culture.
• A minimum of 2-5 years’ experience with evidence in a related ML field.

Responsabilidades

• Develop and apply machine learning innovations by collaborating with other team members and company stakeholders.
• Understand requirements and communicate results in a clear and winsome manner.
• Perform feasibility studies and analyse data to determine the most appropriate solution.
• Work on diverse data challenges, ensuring simplicity, scalability, reproducibility and maintainability of ML solutions and source code.
• Develop and maintain data and software with high-quality standards and minimal defects.
• Collaborate on integration and deployment of ML solutions with other technical teams.
• As a team member, foster teamwork, motivation and effective team relations.

Conocimientos

Machine Learning

NLP

LLMs

GenAI

AgenticAI

Data science

Python

PyTorch

Git

Pandas

Dask

Polars

Scikit-learn

Hugging Face

Docker

Databricks

Azure

Educación

Bachelor's degree in Computer Science, Statistics, Maths or an equivalent numerate discipline

Herramientas

Azure

MLFlow

Prefect

Descripción del empleo

We are looking for a Research Scientist with a data-centric mindset to join our applied research and innovation team. The ideal candidate will have a strong background in machine learning, deep learning, language models, GenAI, AgenticAI and process automation. You will be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts to resolve real world and large-scale challenging problems.

Job Description

Develop and apply machine learning innovations by collaborating with other team members and company stakeholders. Understand the requirements and be able to communicate results and conclusions in a way that is accurate, clear and winsome. Perform feasibility studies and analyse 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. Both data and software must be developed and maintained with high-quality standards and minimal defects. Collaborate with other technical fellows on the integration and deployment of ML solutions. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations.

Essential Requirements

• Bachelor's degree in Computer Science, Statistics, Maths or an equivalent numerate discipline
• Hands-on expertise in Machine Learning, NLP, LLMs, GenAI, AgenticAI and data science
• Understanding and practice of prompt engineering, RAG, document processing and fraud detection
• EDA analysis and practical hands-on experience with datasets, ML models and evaluations
• Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks
• Analytical mindset, problem solving and logical thinking capabilities
• Proactive attitude, constructive, intellectual curiosity and persistence to find answers to questions
• A high level of interpersonal and communication skills in English and strong ability to meet deadlines
• Keen to work as part of a diverse team of international colleagues and in a global inclusive culture
• A minimum of 2-5 years’ experience with evidence in a related ML field

Desired Skills

• PhD/Masters in a specific area of AI/ML with published papers
• Experience working with large datasets, production-grade code and operationalization of ML solutions
• Understanding & practice of LLMs & Generative AI (prompt engineering, RAG)
• Previous experience with tabular data, anomaly detection, time series forecasting, automated classification
• Experience in MLOPs (MLFlow, Prefect) and deployment of AI/ML solutions to the cloud (esp. Azure)
• Previous experience in retail, consumer, ecommerce, business, FMCG products (NielsenIQ portfolio)

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 behaviour 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

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