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Junior Data Scientist

Datum: 1-okt-2021

Plaats: Sassenheim, NL

Bedrijf: AkzoNobel

AkzoNobel heeft passie voor verf. Wij zijn experts in het ambacht van het creëren van verven en lakken en zetten de standaard op het gebied van kleur en bescherming sinds 1792. Ons wereldklasse portfolio van merken - inclusief Flexa, Sikkens en Alabastine - heeft het vertrouwen van klanten over de hele wereld. Met ons hoofdkwartier in Nederland zijn we actief in meer dan 150 landen en hebben wij 34.500 medewerkers die gepassioneerd zijn over het leveren van onze hoogwaardige producten en diensten die onze klanten verwachten


AkzoNobel has a passion for paint. We're experts in the proud craft of making paints and coatings, setting the standard in color and protection since 1792. Our world class portfolio of brands - including Dulux, International, Sikkens and Interpon - is trusted by customers around the globe. Headquartered in the Netherlands, we are active in over 150 countries and employ around 34,500 talented people who are passionate about delivering the high-performance products and services our customers expect.

Integrated Business Planning

Integrated Business Planning (IBP) is the management process through which we run the company. It is a process of structured collaboration which aligns all layers and functions around one set of data, one plan, and joint decisions. In the Center of Expertise (CoE IBP), we standardize and optimize the planning cycle and E2E supply chain, to optimize service level, cost and inventory. This enables the company to achieve the best possible performance for our customers, employees and shareholders. We are looking for (senior) data scientists to join our high performing team. We aim to attract and further develop the best Data Science & Supply Chain talent. You can find an impression of our team and some of the topics we work on in this testimonial of prior interns:


Job Purpose

On a global scale, we are looking for data scientists to co-deliver solutions on:

  • E2E Reporting & Analytics for Integrated Business Planning (IBP) to drive decisions.
  • Improvements in Master data to clean Lifecycle statuses and streamline MRP runs.
  • Models to optimize our MRP and network e.g. through matching demand segmentation (ABC-XYZ) with supply policies (MTO/MTS), order quantities/lot sizes, safety stock locations and quantities. Applications are built in our big data platforms.
  • Enabling Advanced Planning Systems (APS).
  • Develop materials to build capability and increase data literacy in the IBP community.


The role and its responsibilities

For the above scope, you perform activities such as:

  • Data engineering i.e. (automatically) extract and process, cleanse, and validate the integrity of data
  • Data science: Conduct data analyses, develop rules & mathematical models to promote efficiency, and translate these into a usable tool/system which supports the process (from descriptives to decision support to prescribed decisions).
  • Data analytics & reporting: Interpret results in a business context, discuss with business partners, and incorporate data-driven decision-making in operations.
  • Effectively partner within peer data scientists, management, and operational users to make data accurate and to make the process to manage data efficient.
  • PMO of technical progress while balancing agile working to deliver rapid prototyping and further incremental development of the technical product, with good communication to sponsors and key stakeholders.
  • Validate achieved process performance with meaningful KPIs.
  • Ideation: Identify Continuous Improvements within current tools/systems and use cases.


Job requirements

  • Pro-active and result driven, while being a strong team player.
  • This is your 3rd/4th role.
  • Strong attention to detail. Be able to work with large datasets, often with technical names, spotting potential errors on the data, and without losing focus of the task at hand, and key deliverables.
  • Potential and affinity to grow towards being a challenging partner to senior members of the AkzoNobel community, bridging business needs and IM, and realizing cross-functional impact.
  • High motivation to strive for and facilitate the overall company optimum.
  • Self motivating to deliver and drive all project stakeholders through the change curve.
  • Sensitive and adaptable to organizational culture and dynamics.
  • Basic project management skills and understanding and affinity of Agile working.
  • Functional excellence & credibility to drive the organization forward.
  • Ability to operate effectively across different cultures and functions.
  • Good (written and oral) communication skills, strong command in English.


Functional expertise

  • MSc in Computer Science, Data science, Mathematics, Statistical Science, Supply Chain Management, Industrial Engineering or similar.
  • Advanced programming knowledge of VBA. Good understanding of SQL and RDBMS. Working experience in ERP systems, Python, R, Azure, Alteryx, PowerBI is nice to have and the ability to quickly expand skills and master these systems/tools.
  • Experience in Advanced Planning Systems (APS) or demonstrated basic skills in supply chain and data science so as to quickly learn and master APS.
  • For the junior data scientist role “Interest” and in for the senior data scientist role “proven experience & interest” in the following areas:
  • IBP and/or Supply Planning and/or Demand Planning process and projects (e.g. Supply policies like MTO/MTS, lot sizes, DC network).
  • Hands-on impact in operations, planning and being exposed to IT/ERP related projects.
  • Detailed and in-depth understanding of ERP system set up, planning & production master data fields, and how these are set up to enable a high performing supply chain process in line with company objectives.
  • E2E performance measurement, identification & application of error metrics, root-cause analysis, etc.
  • Creating Onboarding and Training materials in specialized data science and supply chain topics.



Alle gekwalificeerde sollicitanten zullen worden overwogen voor de functie zonder rekening te houden met hun ras, huidskleur, handicap, geslacht, geslachtsidentiteit, burgerlijke staat, nationaliteit, etnische afkomst, geloofsovertuiging, leeftijd of seksuele geaardheid.

Requisition ID: 13680