Data Scientist III
Flutter International
Location
🇮🇳 India
Type
Full-time
Salary
Undisclosed
Posted
3w ago
Job Description
About Junglee Games Junglee Games is part of Flutter Entertainment, the world’s leading iGaming and sports entertainment group listed on the New York Stock Exchange (NYSE: FLUT). We operate independently in India while leveraging Flutter’s global expertise across product, technology, and responsible gaming. Junglee Games is a technology-led entertainment powerhouse building safe, intelligent, and immersive gaming ecosystems that delight millions daily. Founded in San Francisco in 2012, we are revolutionizing the player experience by treating trust, safety, and fairness as engineering priorities. We specialize in building scalable platforms across a diverse portfolio of competitive and social genres including Ludo, Carrom, Solitaire, Rummy, Poker, Teen Patti, Pool, Quizzes and Tamboola. By marrying tech and deep data science with a passion for community, we have turned technology into our unfair advantage. Our focus on platform thinking allows us to deliver seamless, responsible, and culturally relevant experiences at a global scale. Joining Junglee Games means working at the intersection of India’s fast-growing gaming ecosystem and joining Flutter Entertainment’s global talent community, shaping the future of digital entertainment. Beyond gaming, Junglee Games represents a culture defined by technological ingenuity and strong values. We are committed to shaping the next generation of responsible leaders and redefining what it means to be a tech-first entertainment leader in a digital-first world.
Job Overview
We are looking for a highly skilled Data Scientist with strong hands-on experience in Deep Learning, NLP, and Transformer-based models. This role is ideal for someone who enjoys solving complex problems, experimenting with models, reading current developments in AI and developing state-of-the-art solutions to business problems. Job Location Gurgaon/ Bangalore
Key Responsibilities
- Design, develop, and optimise deep learning models for real-world business problems
- Build and fine-tune NLP models using transformers (BERT family models, Llama, GPT, T5, etc.)