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Wat ga je doen?
Within the Loyalty, Analytics & Media Services department of Albert Heijn the Customer Insights & Solutions (CIS) team works on analyzing large amounts of data to improve our understanding of consumer behavior and to build personalized digital services. This is realized by obtaining insights into marketing campaign effects, building of customer segmentation models, estimating customer lifetime value, providing personal recommendations, etc. Solutions are realized by building algorithms with the help of effective data science/machine learning techniques (e.g. Probabilistic Graphical Models, Deep Belief Networks, Gradient Boosting, Random Forests, etc.) and state-of-the-art infrastructure (Microsoft Azure). Therefore, CIS can deliver, test, implement relevant models in multi-disciplinary teams to ensure AH stays on the frontline of the most favorable & healthiest supermarket of the Netherlands.
To guarantee that models can provide business value the data needs to be reliable, timely and of high quality. This applies to internal data as well as external data. Our goal is to improve our data landscape through standardization and automation such that data is readily available. Moreover, significant steps are taken to further improve the usefulness of existing data (such as the Bonuskaart data) through innovation and optimization. The goal is to further improve the data analysis process such that we can explain consumer behavior more effectively and provide personalized services to create the best and unique customer shopping experience. The CIS team plays a center role to achieve this goal.
Graduation Assignment
AH continuously tries to improve the customer journeys of our customers through offering of personalized services. One such service is to make shopping at AH easy by reducing the time to fill online shopping baskets, flexibility in choosing relevant products, suggesting alternative products, etc. One way to do that is to use a recommendation system to provide relevant suggestions to customers.
In this assignment the student works on investigating the use of deep learning techniques to provide relevant product recommendations to our customers given their historic purchasing behavior. We expect the student to address the following:
Affinity
What we offer
Bij Albert Heijn hebben we één grote missie: onze klanten iedere dag weer inspireren. Ook stellen we onszelf als doel om iedere dag te verbeteren.
Albert Heijn valt samen met Etos en Gall & Gall onder de lokale merken van Ahold Delhaize, een van de grootste foodretailgroepen ter wereld.
Op ons hoofdkantoor in Zaandam, bieden wij veel mogelijkheden op het gebied van leerzame stages, Internationale traineeships en startersfuncties binnen verschillende afdelingen.
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