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SalaryHello and Kia Ora!Start your game in…At Entain, the customer is at the center of what we do, and our Data Science team is focused on creating best-in-market Machine Learning and AI solutions for a broad scope of business requirements - both internally and externallyAs a Data Scientist at Entain, you will have the opportunity to play a crucial role in developing end-to-end solutions to learn more about our customers, personalise their experience with our brands, as well as building tools to aid in safer gambling, fraud and AML initiatives.The possibilities don't end there, as we continue to leverage our cutting-edge platforms and tools to transform the way we work and deliver efficiencies across our business. This is a fantastic opportunity to use your curious data science skills in a corporate environment rich in data with unique and ever-expanding applications.Where and how you can workThis role can be located in Brisbane (HQ) or Melbourne, Australia. We value a flexible work environment and support a hybrid working model, allowing employees to spend two days a week at the office, ensuring work-life balance and individual preferences.Your day-to-day.
- Deliver data science projects spanning the entirety of the project lifecycle.
- Develop and implement advanced machine learning algorithms and models to solve complex business problems.
- Communicate findings, insights and recommendations to technical and non-technical stakeholders.
- Collaborate internally with the Data Science Team, and externally with teams across Entain to identify requirements, define scope, and prioritise deliverables.
- Explore and evaluate the vast amounts of data, available technologies and techniques to enhance the accuracy, scalability and efficiency of our models and products.
- Ensure data privacy and security measures are adhered to in all stages of the project lifecycle.
- Stay up to date with the latest with the latest research and industry trends, sharing insights with the team and adopting cutting-edge approaches where appropriate.
- Demonstrated experience in a Data Science or similar role, or advanced degree in a relevant quantitative field. Experience in Digital Wagering and similar fields is advantageous.
- Strong proficiency in key programming languages (Python & SQL), their tools and libraries (Scikit-learn/PyTorch/TensorFlow), and proficiency with version control systems (Git).
- Experience working with cloud services such as AWS, Databricks and Snowflake is preferred.
- Knowledge of the underlying mathematical foundations of statistics and machine learning and their application in industry.
- Self-driven with the ability to work independently and as part of a team.
- Experience conveying technical concepts to technical and non-technical audiences.
- Strong collaboration skills, eager to both take on feedback and offer guidance.
- Embrace your need for a work-life balance through our 9-day fortnight.
- Celebrate the joy of starting a family with 12 weeks of paid parental leave.
- Indulge in a range of wellness benefits through our wellness calendar, including, heavily subsidized gym memberships and other paid-for services.
- Enjoy the convenience of a free onsite barista and a fully stocked fridge and pantry, ensuring breakfast and lunch are taken care of.
- A wealth of learning and development opportunities, empowering you to broaden your expertise and professional growth.
- Company-wide events designed to honour and celebrate the outstanding achievements of our exceptional team.
- We LOVE Entertainment, and Racing and Sports are at the heart of everything we do. So, it only makes sense that we provide access to staff giveaways to sporting and racing events.
