Lead 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. The role holder will work with colleagues across Heineken as part of a team that drives the Research & Development activities of the Advanced Analytics organization by identifying and developing new Analytics opportunities for the enterprise within a specific group of Functions.

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.

Key Responsibilities

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

range of products or functions

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

robustness of data science solutions

• Develop predictive models and only standardised value-measurement techniques (e.g. running

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

clear objectives

• Manage portfolio of AA prototype products (pilots) to identify next high value product for

HEINEKEN

• Relationship creation and management of broader team's stakeholders to ensure strong

connection and collaboration for team

• Continued self-development and research of best-in-class analytical approached

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

Machine Learning Engineers

• Potential responsibility for selection of AA Vendors and AA Tooling workbench (Procurement &

Enablement of tools sits with GIS)

• Approx. 2–10

Reports to:

• Regional Head of Data & AI

Qualifications:

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

experience accepted.

• 5+ years in a pure analytical/science role

Experience / Skills Required:

• Past record of successful Data analysis projects

• Excellent written and verbal communication skills

• Breadth and Depth in Data Science and Machine Learning

• Ability to build and maintain strong collaborative relationships with stakeholders across the

business

• Demonstrated ability to effectively manage multiple simultaneous projects and deliverables

• Communicate effectively with various stakeholders, tailoring your message to your audience's

level of technical understanding.

• Knowledge of industry trends and demonstrated commitment to stay up to date on new

technologies

• Knowledge of Machine Learning, Statistics, and related fields.

• Fluent Python and thorough knowledge of pandas & scikit-learn.

Nice to have:

• Experience with Azure development environment

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

Language Known:

• Excellent written and verbal English

Leadership competencies:

• Management / leadership of related domain experts

• Proven experience in executive communications

• Experience setting team vision and strategy

• 3+ years of management experience