Junior Data Scientist

Ready to level up your career  

Playtech Managed Services is looking for an experienced Junior Data Scientist to help support new products related to predictive modeling and machine learning in the iGaming industry. This role will be a key member of the Product team supporting the advancement of new and innovative products for a strategic partner in a regulated market. The initial focus will be on incident detection models with expansion to customer behavior prediction fraud detection and player lifetime value modeling.

Your influential mission. You will... 

• Assist in designing building and testing predictive models initially focusing on incident detection systems under the guidance of senior team members with gradual exposure to customer behavior prediction fraud detection and player lifetime value modeling. 
• Support the deployment of machine learning models to production environments in collaboration with the technical teams. 
• Help monitor model performance including accuracy reliability and business impact metrics and promptly report any deviations. 
• Extract clean transform and analyze datasets from multiple sources including real-time and batch data processing systems using SQL and Python.  
• Conduct exploratory data analysis to identify patterns trends and opportunities for predictive modeling. 
• Assist in building and maintaining model performance monitoring systems to track accuracy drift and business impact of deployed models. 
• Contribute to improving model performance through retraining feature engineering and algorithm optimization as assigned.  
• Ensure work with data and models follows regulatory requirements and responsible gambling principles. 

Qualifications :

Components for success. You... 

• Have strong experience in building predictive models and machine learning solutions from scratch.
• Demonstrated expertise in deploying models to production environments.
• Have 1 year of experience in data science data analysis or machine learning roles.
• Are fluent in English.
• Are experienced in working with both real-time and batch data processing.
• Possess strong programming skills in Python or other preferred data science languages.
• Are experienced working with SQL for data extraction and manipulation.
• Are an excellent problem-solver with proven attention to detail and analytical thinking.

Additional Information :

Thrive in a culture that values...  

• Contribution and achievements by offering performance bonuses and ample opportunities for internal growth. 
• Employees health and well-being through comprehensive health and dental insurance plans life insurance MultiSport card employee assistance program food travel and wellness allowances. 
• Work-life balance by providing 25 days of paid annual leave allowing you to relax and recharge. 
• Continuous growth with company-sponsored seminars training programs social activities and events guiding your professional journey and helping you achieve your career goals. 
• Celebrating life events with additional bonuses such as newlywed and baby bonuses. 

PLAYTECH MANAGED SERVICES 
Established in 2007 in Sofia Bulgaria Playtech Management Services a company of Playtech Group has grown into a thriving hub of 500 dedicated professionals fostering a culture of collaboration respect and support. Specializing in customer support and risk management services for leading gaming platforms worldwide our teams boast industry-leading response times and expertise. At Playtech Managed Services we prioritize the personal and professional development of our team members offering opportunities for both horizontal and vertical growth. Our dedicated employees invest their time and expertise in our success and in return we invest our passion in them. We provide a fun creative rewarding and inspiring environment where individuals have the freedom to express themselves. 

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. 

Remote Work :

No

Employment Type :

Full-time