Machine Learning Scientist

  • Group
  • Chiasso, Ticino, Switzerland
  • 01/04/2023
Full time Data Science Machine Learning Statistics Biostatistics

Job Description

Job details

No matching job preferences
Job Type
Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, "whatever makes them pink". is the European Travel-Tech leader in the dynamic holiday packages business, uniquely positioned to drive innovation-led growth.

Every month, reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel-related products and services.

At the heart of our culture is a commitment of inclusion across race, gender, age, sexual orientation, religion, gender identity or expression and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Job Description

We are looking for a motivated Machine Learning Scientist to work with challenging real-world problems on big data. The selected candidate will be part of a team composed of ten machine learning/data scientists and three machine learning engineers. This position is based in our office in Chiasso (Switzerland) or eventually in Spain.

Key responsibilities will include:
Develop pseudo-realtime machine learning solutions to deal with challenging real-world problems on big data
Develop ranking and recommandation algorithms to improve our customers’ expericence
Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers



  • A Ph.D. in Computer Science, or Mathematics, or Physics.
  • Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction)
  • Excellent knowledge of Python and SQL
  • Knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)
  • Experience with distributed version control systems: mostly Git (Github and/or Bitbucket).
  • Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, Transformer, and Autoencoders)
  • Experience with Keras (and tensorflow) or PyTorch


  • Reinforcement Learning (Multi Armed Bandit, Markov Decision Process, Q-learning)
  • Able to find creative solutions to interesting problems
  • Curious with a constant desire to learn and collaborate
  • Knowledge of Spark is a plus
Additional Information

What we offer

By joining our company, you will have the chance to:

  • Join a dynamic team in an inclusive-international environment
  • Grow thanks to the career journey and our internal mobility perspective
  • Manage your own schedule thanks to the flexible start and end of the working day
  • Work a shorter working week (36h), of which 4 hours on Friday morning
  • Get focus time for learning, development and deep work on Friday mornings
  • Enjoy continuous training thanks to our company platform
  • Benefit from employee discounts on travel
  • Receive 2 days off per year for the purpose of volunteering
  • Receive a voucher after some years in the company
  • Get free snacks / fruit / hot drinks/water / beverages at our offices
  • Participate in amazing winter and summer corporate events
  • Benefit from extended parental or marriage leave according to local laws
  • Welfare platform (Corporate Benefits) where you will find dedicated discounts with more than 1500 partners