Msc: Internship Data Science - Profiling customer workflows

Msc: Internship Data Science - Profiling customer workflows

Bedrijf: Canon Production Printing

Introduction
Canon Production Printing (CPP) sells cut sheet printing presses, such as the varioPRINT iX-series, to customers who typically use these printers in print shops where they produce professional-grade products in high volume.

While all customers aim to optimize printing time and printer efficiency, they may employ different workflows to achieve these results. The workflows are characterized by, for example, the types of jobs that are printed, the printed volume, the submission methods that are used, the time a job spends in the system and the amount of manual processing that takes place.

From the printers in the field CPP receives detailed information derived from the workflows that its customers use. If we assume that an individual printer is used mainly within a single customer workflow, we can use the data that we receive to classify each printer and attach workflow profile to it. This classification will greatly help CPP relate printer behavior or customer issues to its usage. It will inform future development by providing a better understanding of the setting in which a printer is used.

Objective
The primary goal is to develop a classification model that determines workflow types based on field data. This model can then be used to assign a profile to each printer. Additionally, we want to determine the factors that are most important in identifying the workflow profile.

Expectations

• Assess data quality and interpret and transform the raw data
• Extract features from the data
• Use the data to train and validate a model
• Create a report explaining the methodology, findings, and conclusions
• Make recommendations for data improvement and future research.

Challenges

• Combining data from different sometimes loosely linked source tables.
• Cleaning and transforming the raw data to distil the relevant aspects
• Data exploration and determining the relevant features.

Your profile

• You are currently studying Data Science or Data Analytics and you are looking for an internship at a big international company
• You have a critical attitude, and you are curious to understand your own observations
• You have at least basic Python and SQL knowledge
• You are available for 5 to 8 months for a minimum of 4 days per week, preferably from October 2025

What’s in it for you?

• A challenging assignment with skilled coaching
• Internship compensation of €500,- per month
• Travel cost compensation if you don’t have an ‘OV-weekcard’
• The possibility to network with professionals inside and outside your field of expertise, thanks to our diversity of disciplines which you will work with
  

Interested?
Are you interested in this assignment? If you would like to receive more information concerning this assignment, please contact Joris Meerts at joris.meerts@cpp.canon. If you have any questions about the internship in general, please contact Milou Geelen at +31 6 25653192.

Waar staan wij voor?

Wij ontwikkelen en produceren hightech printproducten en workflow software voor de commerciële printing markt als onderdeel van Canon, wereldwijd marktleider in beeldtechnologieën. Met ongeveer 3300 werknemers verspreid over drie continenten en ons hoofdkantoor in Venlo, Nederland, innoveren we om hoogwaardige oplossingen te creëren die kleur toevoegen aan de wereld. Geleid door de Kyosei filosofie - samen leven en werken voor het algemeen belang – is onze cultuur gebouwd op openheid, collegialiteit, vertrouwen en stabiliteit. We stellen onze mensen in staat om te groeien, initiatief te nemen en impact te maken.
Met onze bedrijfswaarden samenwerking, innovatie en eigenaarschap, streven we ernaar het beste in elkaar naar boven te halen, grenzen te verleggen en ons gesterkt te voelen om eigenaarschap te nemen in ons werk.