Data Scientist
Bowen Hills, Queensland, Australia
Hello 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 externally
As 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 work
This 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.
What you’ll bring
- 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.
Entain Lifestyle
- 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.
Who we are
At Entain Australia & New Zealand, we're on a mission to revolutionise the world of sports and gaming venue entertainment. We're the home of Australia and New Zealand's best gaming and tech talent, with a passion for pushing boundaries and creating unforgettable experiences.
We have a host of leading brands under the Entain umbrella – our customers can experience the best of sports betting and entertainment with Ladbrokes Australia and neds, where together they provide thrilling avenues for sports enthusiasts and racing aficionados alike. Through Entain Venues, our venue partners offer non-stop entertainment through our line-up of brands from the Australian Poker League and SportsPick to the challenges of InnQUIZitive and many more.
We're also proud to support racing and sport in New Zealand through our 25-year strategic partnership with TAB NZ. The TAB brand in New Zealand connects enthusiasts to the heart of the action, whether it's horse racing, greyhounds, or a variety of thrilling sports.
Our commitment
As a global employer, Entain is committed to providing a safe, fun, and inclusive culture where our people feel like they truly belong. We are a multicultural business that values, celebrates and respects individual differences, so whatever your sexuality, gender, gender identity, ability, age, race, religion, or belief, you will have a voice here, and the space to do your best work. Our diverse internal networks provide support for you to express your views and make a positive difference.
For more information, please reach out to us at careers@entaingroup.com.au or hit apply now.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Databricks Git Machine Learning Privacy Python PyTorch Research Scikit-learn Security Snowflake SQL Statistics TensorFlow
Perks/benefits: Career development Flex hours Parental leave Startup environment Team events Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Engineer II jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Consulting-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs