Data Scientist - AI & ML (2-5 yrs)

Our client is a the Captive unit of a Global Leader. This role is part of an international data science team

Work Methodology- Hybrid- office & WFH

Apart from Compensation mentioned - they have great benefits - in house free meals, social events , learning allowance and time to learn, primary carer leave, personal interest development allowance, etc. They have built a leadership team in India which is the epitome of talent friendly focus , as it recognises You are the competitive advantage.

Summary:

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.

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:

- 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.

- Proficiency in at least one programming language (Python, R, Scala) and a deep understanding of statistical and machine learning techniques.

- Experience manipulating large datasets using SQL and Spark.

- Experience delivering several production grade machine learning products in an academic or corporate environment is crucial.

- Hands-on experience in areas such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs & Transformers), reinforcement learning and/or unsupervised methods.

- Experience of developing LLM-based applications and leveraging them to tackle business problems is desirable.

- Exposure to cloud-based machine learning solutions such as AWS, GCP or Azure.

- Excellent abilities to tell a story through data and explain technical concepts to partners.

- An understanding that a team is greater than the sum of its parts and embraces winning together.

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!!