Data Scientist

This job is with Entain, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Ivy is a global, cutting-edge software and support services provider, partnering with one of the world’s biggest online gaming and entertainment groups. Founded in 2001, we’ve grown from a small tech company in Hyderabad to one creating innovative software solutions used by millions of consumers around the world, with billions of transactions taking place to head even some of the biggest technology giants. Focused on quality at scale, we deliver excellence to our customers day in and day out, with everyone working together to make what sometimes feels impossible, possible.

This means that not only do you get to work for a dynamic organization delivering pioneering technology, gaming and business solutions, you can also have an exciting and entertaining career. At Ivy, Bright Minds Shine Brighter.

As our Data Scientist, you will build high-quality (normally deployed to a production environment) systems that align with our strategic goals and are fully integrated with our products and processes. You will work with stakeholders around the globe to scope our solutions and help them understand, test, and adopt them.

You will operate both as an individual contributor and as part of a larger delivery team, you will have a broad technical background to help shape and deliver cutting-edge machine learning solutions across a wide functional landscape, including CRM, Responsible Gambling, churn modelling, customer lifetime value, cross-selling, player protection, clustering, and forecasting.

What will you do

• Build models and machine-learning algorithms, taking the opportunity from ideation through to deployment in our live production environment.
•  Analyse large amounts of information to discover trends and patterns, presenting the results in commercially impactful manner
• Extract and interpret the business insights and provide recommendations based on those insights.
• Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms, and proof of concepts, leveraging leading data science and technology solutions – bring in the best of the wider community to the team.
• Communicate data collection and statistical methodologies and their results to both technical and non-technical audiences.
  
  

Qualifications

• Previous data science experience between 2-5 years is preferred.
• Candidates must be from Tier-1 and Tier-2
• Bachelor's or Master's degree in Engineering / Statistics / Operations Research, or PhDin Data Science / AI Field.
• Advanced level expertise on SQL & Python
• Strong expertise with Algorithms, ML models
• Knowledge of GenAI, LLMs, and Agentic AI is an added advantage.
  
  

Additional Information

At Ivy, we know that signing top players requires a great starting package and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning.

Depending on your role and location, you can expect to receive benefits like

• A regular bonus
• Healthcare support
• Pick and drop cab facility
• Great development opportunities
• Well-being support, and so much more.
  
  

Outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes, join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves

At ivy, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated.

We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.