Data Scientist

Your influential mission. You will...

• Design and develop new AI services from scratch
• Maintain and enhance current data science pipelines in complex high-load applications
• Closely cooperate with R&D and DevOps teams
• Research, invent and adapt machine learning algorithms for dedicated business needs
• Perform predictive and statistical modelling
• Perform ad-hoc analyses as required

Components for success. You have...

• Proven experience of 4 years as a Python developer (PyCharm, git, debugging)
• Proven experience of 3 years in predictive modeling, preferably in data science production services
• A minimum of 3 years of tabular or time series data analysis as data developer, data scientist or data analyst
• Strong team player mentality, with excellent communication skills, and the ability to work collaboratively in remote environments
• Proficiency in SQL for data manipulation and visualization
• High level of English proficiency
• BS in Economics\Mathematics\Statistics

You'll get extra points for...

• Experience in direct communication with business
• Experience in REST API and cloud deployment 
• Experience with AWS or GCP 
• MS Economics\Mathematics\Statistics 

BI UNIT

Playtech BI team is responsible for collecting, organizing, presenting & utilizing data across all Playtech products and services. Currently, the team is expanding and comprises more than 20 developers, data scientists and data engineers.

BI in Playtech is offered as a product alongside its casino, poker, and other gaming offerings to licensees.

The data science team consists of 10 data scientists who operate similarly to a regular development team. The team develops AI systems such as personalized recommendations, player risk detection, churn detection, and more. These models control every major aspect of the player user experience.

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.