As a Data Scientist, you will develop advanced analytics and machine learning solutions that turn data into predictive and prescriptive insights. You will work closely with business, engineering, and platform teams to operationalize models at scale.

  • Explore and analyze large datasets. 
  • Perform feature engineering and model development. 
  • Train, validate, and evaluate machine learning models. 
  • Collaborate with engineers on model deployment. 
  • Document and present analytical results. 

  • Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
  • Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!
  • Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
  • Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

  • Educational Background: Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field.
  • 3+ years of professional experience as a Data Scientist.
  • Strong skills in Python (pandas, scikit-learn, etc.). 
  • Solid understanding of statistics and machine learning algorithms. 
  • Experience with SQL and cloud data environments. 
  • Experience with notebooks and experimentation workflows.
  • Fluent communication skills in English and Polish.
  • Openness to hybrid work and regular visits in Katowice office, once per month. 
  • Willingness to travel to the client’s office in Lisbon. 

 Develop yourself and the digital future – at Reply!

Reply is made up of a network of highly specialised companies, which support leading industrial groups in defining and developing business models to optimise and integrate processes, applications and devices, using new technology and communication paradigms, such as Artificial Intelligence; Big Data; Cloud Computing; Digital Communication; Internet of Things; Mobile and Social Networking.