Senior Data Scientist

About AkzoNobel

Since 1792, we’ve been supplying the innovative paints and coatings that help to color people’s lives and protect what matters most. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than 150 countries and use our expertise to sustain and enhance the fabric of everyday life. Because we believe every surface is an opportunity. It’s what you’d expect from a pioneering and long-established paints company that’s dedicated to providing sustainable solutions and preserving the best of what we have today – while creating an even better tomorrow. Let’s paint the future together.

For more information please visit www.akzonobel.com

© 2026 Akzo Nobel N.V. All rights reserved.

Job Purpose

The Advanced Analytics team is positioned within IT Delivery. This team serves as the brain of the business where insights are generated, processes are automated, and solutions are built. Our solutions are mainly focused on Supply Chain and Commercial. We are looking for (senior) data engineers to join our high performing team. We aim to attract and further develop the best Data Science & Supply Chain talent.

Key Activities

• Collect business requirements from the various stakeholders (Data Scientists, Product Managers, IM)

• Translate business requirements into technical requirements, systems, and solutions

• Design, develop and document the technical solution

• Main task is to develop and maintain PowerBI reports

• High interest in developing E2E data solutions

• DevOps/ Agile WoW

Experience

Basic Qualifications

• BSc in Computer Science, Statistics, Mathematics, Physics, or any quantitative field

• Experience in designing and building advanced reports

• Platforms: PowerBI,

• Programming languages: Python, PySpark, SQL

• Sound communication skills

• Team player

• Curious mind

• Data enthusiast

Preferred Qualifications

• MSc in Computer Science, Statistics, Mathematics, Physics, or any quantitative field

• Big data frameworks: Databricks, Apache Hadoop, Apache Spark, RapidMiner, Cloudera

• Experience in supply chain

• Familiar with Agile

At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.

Requisition ID: 55852