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• Support the analysis of product data provided by our Brand Partners for the Product Journey section of our product detail pages. Responsibilities include data cleaning, formatting, consistency validation, and ensuring quality and completeness
• Provide support to other team activities as needed, contributing to the overall success of the Sustainability team and its cross-departmental collaborations
• Act as a proactive contributor by identifying and recommending improvements to internal processes, with a view to advancing the company’s sustainability performance and data transparency.

• Take responsibility: You support the creation of fiscal year reviews per distributor, including evaluation and graphical representation of the development of design registrations to evaluate campaigns
• Holistic Overview: You take over the monthly compilation of campaign results in PowerPoint for presentation to the business units and management
• Keep the overview: You are working on the review of product listings with distributors before the start and during campaigns
• Data is everything: You are responsible for the transfer of campaign results to Excel for use in Tableau
• Keep up to date: You perform regular updating of KPI benchmarks per distributor and per business unit
• Be creative: You take over the uploading of New Product Introductions (NPIs) to partner websites
• Analyze and optimize: You analyze revenue trends, campaign effectiveness, and other key performance indicators to identify areas for growth and optimization, and develop data-driven recommendations to improve marketing strategies and tactics.

The student will be part of a team or project group working on coating formulations and performing a variety of test with a high degree of independence. Literature, internal reports and coating educating syllabi are present to be used to acquire theoretical knowledge. All equipment necessary for paint formulation is available. The student will have a very regular contact with the supervisor to discuss approach, results, and continuation. The subject for the internship can have a more innovative character (technology/concept development) or focussed on product development. Several continuously evolving subjects are available, so is not possible to predict which projects will be worked on in advance. Regardless of this, all interns will have the opportunity to have an in-depth learning of coating technology and doing research in an industrial organisation. 

Successful interns will be considered for positions within AkzoNobel.

Embellishment

• Assist with the ordering process, including order management, slot booking, stock control, outbound (transport), and returns.
• Support the coordination of the order/delivery process by working closely with the warehouse, logistics, and supply planning team to ensure on-time and in-full deliveries (OTIF).
• Collaborate with key stakeholders to help address ways to improve customer satisfaction.
• Assist the finance and accounting team with processing credit claims and investigating root causes.
• Help maintain relationships with supply counterparts.
• Assist with weekly and daily service level reporting and identify discrepancies between internal data and customer data.
• Help prepare dashboards for the customer.
• Support monthly analysis on various supply topics for the department (cost-to-serve, truck optimization, dispute, service level, etc.).

Customer Service

- Daily Operations:

• Assist with the ordering process, including order management, slot booking, stock control, outbound (transport), and returns
• Support the coordination of the order/delivery process by working closely with the warehouse, logistics, and supply planning team to ensure on-time and in-full deliveries (OTIF)
• Collaborate with key stakeholders to help address ways to improve customer satisfaction
• Assist the finance and accounting team with processing credit claims and investigating root causes
• Help maintain relationships with supply counterparts

- Analysis & Reporting:

• Assist with weekly and daily service level reporting and identify discrepancies between internal data and customer data.
• Help prepare dashboards for the customer.
• Support monthly analysis on various supply topics for the department (cost-to-serve, truck optimization, dispute, service level, etc.).

• Data preparation: There is an established pipeline for rat data harmonization that needs to be implemented for the other species
• Model Development: Train and optimize ML classifiers (e.g. random forest, SVM, XGBoost, deep learning) to predict compound-induced organ toxicities based on existing labels and harmonized datasets. Evaluate model performance using metrics such as ROC-AUC, precision-recall, and confusion matrices.
• Mechanistic Insight Extraction: Analyze feature importance and explore biological interpretation of model outputs. Map model-informative patterns to known toxicity mechanisms using ontologies and prior annotations (e.g., AOPs) (optional)
• Workflow Automation: Package reproducible data science pipelines for classification and evaluation. Contribute to a scalable framework that can be used for future compound screening or model updates.
• Internal Communication: Prepare progress summaries and present results to stakeholders in Predictive Modeling, TSAC, and Clinical Safety teams. Support documentation for potential inclusion in publications or internal tools.