Data Science Application Engineer
Data Science Application Engineer
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Job Description
About us:
We are proudly owned by Auto & General Insurance Company. The A&G group is made up of trusted and well-known brands such as iSelect Compare the Market and Budget Direct. In late 2024 iSelect and Compare the Market formed a new Aggregation business within the A&G group and now support millions of Australians to compare and buy their personal finance and household products such as insurance energy and loans.
How you fit:
We are seeking a Data Science Application Engineer to join our AI & Data Science team. This role bridges the gap between data science and engineering supporting the deployment of machine learning pipelines productionizing models and streamlining orchestration processes. You will work closely with Data Scientists and occasionally with the Software Engineering and Delivery Team to deliver scalable and reproducible ML applications. This is a hands-on technical role ideal for someone who thrives in a collaborative environment is passionate about operationalizing AI/ML and is comfortable working in a modern data platform like Databricks.
Key relationships
- Data Science Team
- Data Engineering Team
- Enterprise Architecture
- Software Engineering and Delivery Team
- Product and project managers
What you do:
- Collaborate with Data Scientists to build and maintain ML and data pipelines using Databricks (PySpark Delta Lake MLflow).
- Design and implement orchestration workflows using tools like Databricks Workflows.
- Manage model deployment versioning and lifecycle using MLflow or similar tools.
- Set up and monitor CI/CD pipelines for data science and ML applications.
- Build simple backend services (e.g. REST APIs) or lightweight frontends to support demo applications or PoCs.
- Ensure code quality modularity and reusability across pipelines and tools.
- Contribute to documentation tooling and infrastructure to accelerate experimentation and delivery.
- Work with DevOps/Infra teams to ensure scalable secure and efficient operation of ML services.
What you need:
- Bachelors or Masters degree in Computer Science Statistics Mathematics Engineering or a related field
- Solid Python and SQL programming skills especially in data and ML contexts.
- 2-5 years experience with Databricks or equivalent data platforms.
- Familiarity with ML lifecycle tools (MLflow etc.).
- Understanding of modern orchestration tools.
- Experience with Git and CI/CD tools (e.g. GitHub Actions Azure DevOps).
- Knowledge of REST API development (e.g. FastAPI Flask) and basic frontend skills (optional but a plus).
- Familiarity with cloud platforms (AWS Azure or GCP).
Whats in it for you:
- Career Opportunities
- A competitive salary plus generous uncapped commission scheme
- The opportunity to work with a well-known household brand and public listed company
- Work with a team of highly energised motivated and driven professionals
- 3 recharge days per year (yes in addition to your annual leave!)
- A free coffee each day a funky caf and a state of the art work space
- An impressive Employee Benefits Programs
If you are someone who fosters team spirit has resilience and aspires to continue learning and developing their skills to drive commercial outcomes you will have tremendous success in helping us achieve our progressive growth agendas. High energy levels and a love of having fun are also important to working in this energetic business.
Employment Type
Full-Time
