As a Data Scientist in our team, you will be instrumental in solving real-world business problems using advanced data science techniques and cloud-native technologies. You’ll work across diverse datasets, build scalable tools, and deploy solutions using AWS services including SageMaker, Glue, EMR, and Redshift.

Key Responsibilities

- Source, clean, and prepare large-scale datasets for analytics and operational use.

- Create productivity tools using Python and R scripts to streamline workflows and enhance the effective use of available models.

- Apply statistical and analytical techniques to extract insights and support decision-making.

- Build and deploy data-driven solutions using AWS SageMaker, leveraging asynchronous inference and batch transform pipelines.

- Collaborate with stakeholders to understand business priorities and translate them into data-driven solutions.

- Create transparent and compelling visualisations and presentations for technical and non-technical audiences.





- Ensure responsible use of AI technologies by adhering to governance and ethical standards.

- Contribute to CI/CD pipelines for solution deployment and monitoring.

Preferred Skills & Experience

- Proficiency in Python, R, SQL, and experience with Spark or Snowflake.

- Hands-on experience with AWS services: SageMaker, Glue, EMR, S3, Redshift, DocumentDB.

- Familiarity with MLOps practices and model lifecycle management.

- Strong understanding of data engineering principles and cloud architecture.

- Exposure to frameworks and design concepts, with an understanding of how to treat data as a product.

- Experience in GenAI, prompt engineering, and responsible AI guardrails is a plus.

- While building predictive models is not a core responsibility, having that skill set is considered an added advantage.

- Excellent communication and stakeholde

📌 Data Scientist (City of Sydney)
🏢 iSoft
📍 City of Sydney