This opportunity is based in Lausanne and Zurich

(Internship/Master Thesis) AI assisted Deduplication Solution

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It is said we all have a doppelgänger (look-alike person) somewhere in the world.  For years, scientific studies have been carried out on how many chances one might have to meet its doppelgänger. If the figures are not the same, let’s agree that when it comes to real-life the probability is very low.

And some people might be willing to meet their doppelgänger IRL, but not in IT. Developers would love to have applications clean from duplicated contacts. Having a “clean” database is key for any system and even more critical when it comes to Customer Engagement solutions where personal relationships are handled. Such systems can aggregate data from various sources (internal, cloud, mobile, social) to offer a real-time 360° customer view, only if the data is clean from duplicates.

Indeed, a clean customer database would enable a fine profiling and open the door to real-time marketing and predictive analytics.

Nowadays technologies clearly allow us to offer solutions that will help users manage these duplicates but also to add intelligence that would automatically resolve certain data conflicts.

This is about technique around data, fuzzy matching, levenshtein distance, ...

In this role

You will be in charge of

  • Understanding patterns that makes duplicates to happen
  • Determining proactive and corrective measures to avoid duplicates
  • Designing a set of solutions to support a virtuous monitoring/cleansing
  • Propose an appropriate architecture and realize a Proof of Concept.

What we offer

  • A dynamic work and collaborative environment with a highly motivated multi-cultural and multiples international sites team
  • Personal development through training and coaching
  • A flat hierarchy and a culture of collaboration across all disciplines
  • The chance to make a difference in peoples’ life by building innovative solutions
  • High innovation and research backed up by collaboration with universities like EPFL
  • Various internal coding events (Hackathon, Brownbags), see our technical blog
  • Monthly After-Works organized per locations
  • Good life balance (41 working hours per week and possibility to work 2 days per week from home)

About your profile

  • Software engineering and programming,
  • Interest in Data Quality and AI assisted mechanisms,
  • On-the-job training will be provided by our experts.

If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).

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