Were the worlds leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.
Worldpanel provides brands and retailers with a unique, 360-degree understanding of consumer behaviour across the globe. We are shopper-centric, continuously monitoring the purchase and usage behaviour through the largest omnipanel in the world. With unparalleled datasets, pioneering technology and expert analysts, we partner with brands and retailers of all sizes, empowering them to reimagine whats possible, and change the landscape to create a better, healthier, more sustainable and inclusive world.


Job Details


INSPIRE SUCCESSFUL DECISIONS


Kantars 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 Roles 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 thatll 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 (Bachelors, Masters 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.


Country

Portugal


Why join Kantar?


We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. Were dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like youre not an exact match, wed love to receive your application and talk to you about this job or others at Kantar.