Data Scientist

SIBS provides financial, modern, reliable and secure services to more than 300 million users, from three different Continents, processing more than 4 billion transactions annually.


Join us on a battle of good versus evil, by being one of the data driven good guys that will help protect more than 3.5 million MB WAY users, Portuguese cards, merchants, MULTIBANCO ATMs, home banking or even the API requests that developers and other fintechs use to deliver the next generation of payment and financial apps.

You’ll be pinpointing fraudsters, uncovering their synthetic identities and scams, discover the hidden links and create actionable models that will screen more than 10 million transactions a day in a matter of milliseconds.

Be part of the team that delivers the best ML and AI models that allow us to offer top payment experience while keeping everyone secure and their money safe. We’ll give you access to a big data infrastructure that leverages our unique data lake and combines data across all channels and services we monitor, giving you a full comprehensive view of the Portuguese payment system.

At SIBS, making a positive impact on millions of users is a daily statement. Are you up for the challenge?



  • MSc in Computer Science, Electrical Engineering, Statistics, Applied Mathematics or related field
  • Strong knowledge of ML prediction algorithms like Random Forest, XGBoost, LGBM
  • Knowledge of Big Data technologies such as Spark, Hadoop and related
  • Proficiency in bash, Python and either Java or Scala;
  • Experience in Fraud detection is a plus
  • Knowledge of resource monitoring and runtime optimization (both at JVM and OS level);
  • Knowledge of Deep Learning algorithms is a plus


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