Vacatures data scientist

Date: Jul 4, 2024

Company: 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.

• Supports internal audit in identifying risk areas, planning, audits and review of controls testing using different Data Analytical tools and techniques;
• Translates requirements from Internal audit in obtaining an understanding of business data and translate into usable analytics/insights;
• Obtains the necessary data (and tools) to identify, design and develop insights;
• Designs and develops advanced risk analytics to support (annual) audit plan;
• Provide central, independent, common and easy access to key data for audit work;
• Building strong relationships with stakeholders to support our data access and analytical capability to meet current and future requirements.
• Supports the wider development and deployment of Data Analysis skills and competencies within AkzoNobel Internal Audit Function;
• Provide internal audit staff training in use of data analytics tools / developments / techniques;
• Update audit staff on new developments.

Education
Bachelor or master’s degree preferably in computer science, information technology, artificial intelligence, accounting, auditing, economic or business administration. Experience in audit profession is preferred.

Experience

• At least 5 years of data analytics experience ideally with experience in public accounting and/or in a large internal audit function and/or large or mid-sized international manufacturing company;
• Understand various data structures and common methods in data transformation and excellent pattern recognition and predictive modeling skills;
• Experience with data processing, database programming, data analytics and visualization tools (such as ETL, SQL, Alteryx, IDEA, MS Power BI, Celonis, Databricks, MS Fabric).

• Professional skepticism, critical thinking, problem solving, analytic;
• Analytical mindset, at ease with numbers and structured;
• Sensitive to deadlines and budget constraints;
• Detail oriented;
• Experience and able to work with different cultures, management styles;
• Excellent communicator (presentation and communication skills);

• Above average number of annual holidays: 46 days.
• Participation in the AkzoNobel pension plan.
• Fixed bonus (CLA).
• Travel expenses to and from work.
• Opportunities for ongoing education and professional development.
• Hybrid way of working.
• Being part of events and networking platforms.
• Paint with a discount.

We welcome your online application via https://careers.akzonobel.com/. If you have questions about the role or interview process, please contact Merith de Bock at merith.debock@akzonobel.com.

The recruitment process includes a selection of the best applications received through the system, interview rounds, and further steps. An online assessment and an employment screening are part of the selection process.

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.