Lead ML / Data Scientist

This role is part of the D&T department of HEINEKEN International. D&T is proud to bring cutting-edge innovation, strong technology, and advanced analytics to HEINEKEN. With speed and agility, we ensure HEINEKEN has the technological competitive advantages it needs to deliver on its ambition.

The role is part of the European Data & AI Hub and is critical in Heineken to operationalise our strategy of standardised and scalable data foundations across the region and enterprise. It is essential that the role holder delivers analytical solutions that are both theoretically sound and create immediate business value. This will be achieved by building strong relationships and collaboration with members of the broader HEINEKEN data organisation including Insight Enablement, Data Management and Global Analytics, along with various programs across the central, regional and Operating Company (OpCo) structures.

In particular, he/she will partner with a growing group of data professionals such as Data Engineers, Machine Learning Engineers and Product Managers who play a crucial role in the development and delivery of Analytics products at scale.

Responsible for R&D within the Advanced Analytics organization for a specific product across a

Apply software engineering best practices (CI/CD and unit testing) to ensure the reliability and

robustness of data science solutions

• A/B testing) to solve complex business problems, such as forecasting timeseries, churn prediction
• Participate in scrums and deliver all objectives within a defined scope including defining

scope/priority where necessary Coordinate scrums and ensure others have defined scope and

Management and/or development and capability building of Junior/Senior Data Scientists and

Machine Learning Engineers

• Enablement of tools sits with GIS)
• Regional Head of Data & AI

MSc/PhD in science, technology, engineering, mathematics or a related field; equivalent work

experience accepted.

• Experience / Skills Required:
• Past record of successful Data analysis projects
• Breadth and Depth in Data Science and Machine Learning
• Demonstrated ability to effectively manage multiple simultaneous projects and deliverables
• Knowledge of Machine Learning, Statistics, and related fields.
• Fluent Python and thorough knowledge of pandas & scikit-learn.

Experience with Azure development environment

• Experience working with a large development team (CI/CD)

Language Known:

• Excellent written and verbal English

Proven experience in executive communications

• Experience setting team vision and strategy
• 3+ years of management experience