Job Description
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 clear 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 stakeholder engagement skills.
Domain Expertise
- Experience working with data across the banking and financial services domain, including products from Retail, Institutional, and Business Banking.
Key Skills
Ranked by relevance
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- Posted
- Feb 12, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Sydney
- Company
- iSOFT
Industries
Categories
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3 roles aligned with this opportunity
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