EGT Digital is a next-generation tech company that is focused on all online gaming products, and its portfolio includes Casino Games, Sportsbook, as well as the all-in-one solution – a Gambling Platform.
EGT Digital is a part of Euro Games Technology (EGT) Group, headquartered in Sofia, Bulgaria. EGT Group is one of the fastest-growing enterprises in the gaming industry. Our global network includes offices in 25 countries and our products are installed in over 85 jurisdictions in Europe, Asia, Africa, North, Central, and South America.
Being a part of such a fast-moving industry as iGaming, the company knows no limits and is growing rapidly through its dedication to innovation and constant improvement. This is the reason why we are expanding our Platform & Payments Department and now we are looking for some fresh and enthusiastic people to come and join us in the exciting digital world of iGaming.
Responsibilities:
Assist in the design, development, and implementation of machine learning algorithms and predictive models to address business challenges
Apply and adapt existing NLP models to support business needs and enhance application performance
Contribute to research and experimentation with new techniques and tools in machine learning, data science and LLMs
Collaborate with data engineers to develop and maintain data pipelines and ensure high-quality feature engineering
Analyze large datasets to identify trends, patterns, and opportunities for model improvement
Monitor model performance and implement improvements to enhance accuracy, efficiency, and scalability
Participate in the deployment and maintenance of machine learning models, ensuring their reliability in production environments
Document methodologies, experiments, and code to ensure reproducibility and knowledge sharing within the team
Requirements:
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
Proven experience as a Data Scientist, with a strong focus on data analysis and machine learning
Knowledge in large language models (LLMs) architecture
Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch
Solid understanding of machine learning algorithms and statistical analysis
Experience with data visualization tools like Tableau, Matplotlib, or Plotly to communicate findings
Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Familiarity with cloud-based platforms (e.g., AWS, Azur, or Google Could) is a plus
Experience in the iGaming industry or a similar high-volume, data-intensive environment
What we offer:
Competitive salary
Performance based annual bonus
Performance evaluation & salary review twice a year
25 days paid annual leave
Work from home option -2 days weekly
Flexible working schedule
Additional health insurance – premium package
Fully paid annual transportation card
Fully paid Sports card
Free company shuttle by the office
Sports Teams/Sports events
Professional development, supportive company culture, and challenging projects
Company-sponsored trainings
Tickets for conferences and seminars
Team building events and office parties
Referral Program
Free snacks, soft drinks, coffee, and fruit are always available
Birthday, newborn baby, and first-grader bonuses
Corporate discounts in various shops and restaurants
State-of-the-art modern office
Positive working environment and chill-out zone (PS4, foosball-table, and lazy chairs)
All applications will be treated in strict confidentiality and only the approved candidates will be invited to an interview.
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