Data Scientist
Hyderabad, TG, IN, 500081
Let's play
together

About our company
Fortuna has become an established brand among customers within just a few years. We became a proud international Family of companies carrying Fortuna Entertainment Group from the first betting shop.
We want to go further and be known for having the best tech department offering our employees the usage of modern technologies, and being part of many exciting projects. Our new home is the remarkable Churchill II building which has a view of Prague.
Every detail underlines the company's corporate culture and represents our values. The workplace layout is 100% ecological, providing ideal conditions for everyday work. We all work as one team and treat each other with respect, openness, a sense of honor and respect for individual and cultural differences.
Hey there!
We're Fortuna Entertainment Group, and we’re excited to share why we’re a team worth joining.
Who We Are?
Founded in 1990, FEG is a top player in the betting and gaming industry. We proudly serve millions of customers across five European countries – Czech Republic, Slovakia, Poland, Romania, and Croatia – with our Business Intelligence operations based in India.
Why Join Us?
At FEG India, you’ll be part of a team that’s powering the digital future of one of Central and Eastern Europe’s leading betting and gaming operators. We’re a growing tech hub delivering high-quality solutions in Data, BI, AI/ML, Development, and IT Services. Your work here directly supports global operations — and we make sure our people grow with us.
Current Opportunity
Right now, we´re seeking a Data Scientist to drive Data science in FEG business and build statistical and ML based models, and insights.
What You’ll Be Doing
Your daily activities will include, but not limited to:
- Retrieve the data from different data sources i.e., Data Lake and Data Ware House using SQL, Python or PySpark
- Cleaning and preprocess the data for quality and accuracy
- Perform EDA to identify patterns, trends and insights using statistical methods
- Develop and implement machine learning models for customer behavior, revenues, campaigns
- Enhance the existing models by adding more features and expand it to other markets / teams
- Working with other teams such as engineering, product development, and marketing to understand their data needs and provide actionable insights
- Support the data analytics team in improving analytical models with data science-based insights
- Develop and provide MLOps framework on Microsoft Azure for deploying ML models (good to have)
What We’re Looking For
- A degree in Computer Science / Information Technology
- Fluent communication skills in English both written and verbal
- Team player who can share experience with the team and grow them technically
- High quantitative and cognitive ability to solve complex problem and think with a vision
You should have experience in:
- At least 4 years of experience of working in data roles – Data Analyst, Business Analyst and Data Scientist
- 3 + years of experience in programming and data science, MLOps and automation of models
- Sound practical knowledge of working with advanced statistical algorithms
- Great understanding of all machine learning techniques and its application on business problems
- Experience with ML on MS Azure stack in combination with Python, SQL
- Strong business understanding. Worked in developing analytics solutions in 2-3 Domains
- Experience in building and productionizing ML platforms.
- Data Driven
- Technical Thinking
- Problem-solving
- Communication skills
- Critical Thinking
- Task Management
- Proactive
Why You’ll Love It Here
- We are the biggest omni-channel betting and gaming operator in Central and Eastern Europe, B2C High-tech Entertainment company
- Hybrid Working Arrangements (work from home)
- Flexible working hours
- Interesting innovative projects
- Cooperation across 5 markets and departments, international teams
- Variety of Tasks, where Problem-Solving and Creativity is needed
- Advancement, Promotions and Career opportunities for talents
- Skill Development & Learning options – both individual and team, development goals filled by individualised development plans
- Welcoming Atmosphere, open and informal culture and dress code, friendly colleagues, strong eNPS scores
If this sounds like your kind of place, let us know by applying! We can’t wait to hear from you.
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Offices at FEG