Senior Data Scientist

Kantar’s Worldpanel division is searching for a knowledgeable and collaborative Senior Data Scientist to join our global teams. Based in Lisbon, Portugal this is truly an incredible opportunity to be part of our exciting vision for the future!

 The Role’s Mission

Kantar Worldpanel is seeking a Senior Data Scientist to spearhead transformative initiatives through innovative analytical and AI methodologies, striving to elevate the quality and efficiency of our global services.

In this pivotal role, the ideal candidate will act as the right-hand of the Team Lead, steering strategic direction in key areas of Data Science by developing and supervising the development of deep/machine learning models, collaborating with the engineering team to deploy ML algorithms, maintaining production-level code, implementing data engineering for automated solutions, and exploring new ML methods for efficient data analysis.

If you are passionate about pioneering advances in data science, leading strategic initiatives, and contributing to the global impact of our services, apply for a career that’ll be out of the ordinary and join us!

Key Outcomes

• Leading and mentoring data scientists in the team, fostering team building and implementing best practices throughout projects.
• Develop and supervise sophisticated deep/machine learning models and statistical algorithms, deploying novel solutions and efficiently retrieving data for robust model building.
• Work collaboratively with the Data Engineering team, seamlessly deploying and integrating Machine Learning (ML) algorithms to improve overall functionality.
• Exhibit coding prowess by developing, commenting, maintaining, and sharing legible and production-level computer code, ensuring transparency and reliability.
• Apply sophisticated data engineering techniques to deliver automated solutions, exploring new ML methods for the streamlined analysis of large datasets.
• Build compelling data visualizations, meticulously documenting and communicating findings to internal stakeholders in a structured and impactful manner.
• Drive the delivery of effective solutions by collaborating with internal stakeholders, solving critical business questions, and providing strategic business recommendations from a Data Science perspective.
• Take full responsibility for key projects, consistently raising the performance bar and ensuring the highest standards of excellence.
• Identify and harness opportunities for applying data science to improve, optimize, and expand existing solutions.

Key Capabilities

Your background will ideally look like this…

• Academic background (Bachelor’s, Master’s or PhD Degree) in Computer Science, Data Science, Machine Learning Engineering, Statistics or equivalent fields.
• Business proficiency in English (B2 Level Minimum Required).
• Minimum of 5-7 years of proven experience in ML Engineering or Data Science roles.
• Experience with the end-to-end Data Science cycle: from data collection to model deployment and monitoring.
• Strong data exploratory skills – understand how to break down the data, extract insights, and determine utility within a broad range of business questions.
• Proven understanding of commonly used ML/Optimization techniques (Classification, Regression, Clustering, Outlier identification) and statistical methodologies (Distributions, Hypothesis testing, Bayesian framework).
• Consolidated professional programming experience programming in Python, as well as with Spark and SQL, coupled with competence in applying prevalent Data Science and Machine Learning libraries (experience with LLM will be advantageous).
• Experience working within Agile Frameworks (SCRUM/KANBAN).

The following, although not mandatory, will be appreciated…

• Proven experience with Deep Learning and NLP models.
• Experience with Cloud Computing and storage, ETL, and experience with Big Data handling in Azure Databricks.

What our Recruitment Process Looks Like...

• 1st Stage – Screening interview with Talent Acquisition.
• 2nd Stage – First interview with the Hiring Manager.
• 3rd Stage – Technical Assessment and Final Meeting with Hiring Manager.

Join us!

At Kantar, we have an integrated way of rewarding our people based on a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and to support a pay-for-performance culture, where your reward and career progression opportunities are linked to what you deliver.

We also make sure we create an equality of opportunity in a fair and encouraging working environment where people feel included, accepted and are allowed to thrive in a space where their mental health and well-being are taken into consideration.

Privacy and Legal Statement: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (“Kantar”). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies. For full details of our privacy policy please visit www.kantar.com