We’re the world’s 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 what’s possible, and change the landscape to create a better, healthier, more sustainable and inclusive world.

Job Details

Why this job is important

We are seeking a Senior Data Scientist to lead ground-breaking projects using sophisticated analytical and AI methods, improving our global services' quality and efficiency. The role involves assisting the Team Lead in key Data Science areas by developing and supervising machine learning models, working with engineers to deploy algorithms, maintaining code, implementing automated data solutions, and exploring new ML techniques.

If you're driven to innovate in data science and make a global impact, apply now!

What you’ll be doing

• Lead and mentor data scientists, encouraging team growth and implementing best practices.
• Develop deep/machine learning models and statistical algorithms, deploying efficient solutions.
• Collaborate with Data Engineering to integrate ML algorithms efficiently.
• Write and maintain production-level code, ensuring reliability.
• Apply data engineering for automated solutions and explore new ML methods.
• Build data visualizations, detailing and presenting findings engagingly.
• Partner with team members to tackle business questions and provide strategic recommendations
• Lead key projects, maintaining high performance standards.
• Find opportunities to optimise and expand data science solutions.

Skills & experience needed

• Degree or equivalent experience in Computer Science, Data Science, Machine Learning Engineering, Statistics, or similar.
• Significant experience in ML Engineering or Data Science.
• Experience with the entire Data Science cycle.
• Strong data exploratory skills and ML/Optimization techniques knowledge.
• Experience with NLP models like BERT, GPT-2, ELMo, RoBERT, and CNN and using them to build products/services
• Sentiment analysis experience is helpful.
• Expert programming in Python, Spark, SQL, with Data Science and ML libraries experience.
• Experience in Agile Frameworks (SCRUM/KANBAN).

Preferred but not mandatory

• Experience with Deep Learning.
• Experience with Cloud Computing, ETL, and Big Data handling in Azure Databricks.

What’s in it for you

• Flexible hybrid working
• Up to 25 days off, plus your birthday off and two days paid for volunteering
• Meal card and flexible benefits where you are allocated funds to spend on a variety of benefits such as transport costs, education related and more

Country

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. We’re 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 you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.