PokerStars

Data Scientist

PokerStars seeks a Data Scientist with 2-4 years of experience in building and deploying AI & ML solutions. Proficiency in Python, R, or Scala, SQL and Spark, and experience in tree-based learners, deep learning, and reinforcement learning is essential. Strong communication and storytelling abilities are required.

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 Overview Of The Role The PokerStars Data Science team is looking for a motivated and versatile expert, who will work on developing and deploying AI &amp; machine learning solutions for our business. As a Data Scientist, you will collaborate with an industry-leading team and enhance your skills in delivering groundbreaking solutions to continue driving innovation at the home of online poker. This role follows a hybrid  approach to working, allowing you to combine working from home with working in our modern offices. Our modern office space is equipped with working and leisure areas, meeting rooms and sufficient space suitable for workshops and training sessions for larger groups. We regularly host social and well-being events. With in-house snacks, meal, fruit and drinks, (with in-house Free meal to all employees), office has stylish art and photography crafted to convey the energy and excitement of a gaming experience, our office in Hyderabad, India is perfect for our growing community of employees. What You Will Do Across areas such as risk detection, behavioural insights and personalization, you’ll lead the development of advanced machine learning solutions bringing to bear our vast data assets. You will work with diverse teams to become an architect of innovation with AI, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. What You Will Need <ul><li> A Bachelors or Masters degree qualified in a STEM subject along with 2 to 4 years of experience as a data scientist or data analyst. </li><li> Proficiency in at least one programming language (Python, R, Scala) and a deep understanding of statistical and machine learning techniques. </li><li> Experience manipulating large datasets using SQL and Spark. </li><li> Experience delivering several production grade machine learning products in an academic or corporate environment is crucial. </li><li> Hands-on experience in areas such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs &amp; Transformers), reinforcement learning and/or unsupervised methods. </li><li> Experience of developing LLM-based applications and leveraging them to tackle business problems is desirable. </li><li> Exposure to cloud-based machine learning solutions such as AWS, GCP or Azure. </li><li> Excellent abilities to tell a story through data and explain technical concepts to partners. </li><li> An understanding that a team is greater than the sum of its parts and embraces winning together. </li></ul>
It’s ok if you don’t think you tick every box on this list! We love people who want to challenge themselves and are passionate about what they do. If you believe you can contribute in some areas and are eager to learn, we encourage you to apply!! Why Choose Us Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This Package Includes <ul><li> Discretionary annual performance bonus </li><li> 30 days paid leave </li><li> Health Insurance for you and your partner, children, and parents or parents-in-law (up to 5 dependents) </li><li> A personal interest allowance to let you learn something new or pursue a hobby </li><li> Looking to extend your family? You will receive a cash gift of 34,000 INR for your new addition whilst working for us </li><li> 26 weeks primary carer leave, and 4 weeks secondary carer leave </li><li> External learning support of up to £1,000 or equivalent in local currency, dedicated 4 learning “Power Hours” every month during office time, full access to the Udemy and Mindtools platforms, in-house leadership program and many other training opportunities for developing your skills and progressing your career. </li></ul>
Equal Opportunities At Flutter International we are committed to creating an inclusive environment where our people can be their authentic selves and thrive. We embrace and celebrate diversity, respecting all our uniqueness and differences. We welcome you to let us know whether you have any accessibility needs. All you need to do is email us at talent@flutterint.com  . Your journey with us is focused on ensuring you have what you need to be your best self. Learn more about the works we are doing on Inclusion and Belonging here: <a class="app-aware-link " target="_blank" href="https://careers.flutterinternational.com/working-at-flutter-international/diversity-equity-inclusion/" data-test-app-aware-link=""> https://careers.flutterinternational.com/working-at-flutter-international/diversity-equity-inclusion/ </a>The Group PokerStars is a proud member of the Flutter Entertainment family, a global leader in sports betting, iGaming, and entertainment. We're not just another company; we're listed on both the prestigious FTSE 100 index on the London Stock Exchange and the New York Stock Exchange (NYSE)! What sets us apart is our world class brands, cutting-edge products, and our International division includes our operations in over 100 global markets and offers sports betting, casino, poker, rummy and lottery, mainly online. Our commitment is to ensure that the excitement of gaming and entertainment is experienced in a responsible manner.
 
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