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.
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Key Responsibilities
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Source, clean, and prepare large-scale datasets for analytics and operational use.
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Create productivity tools using Python and R scripts to streamline workflows and enhance the effective use of available models.
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Apply statistical and analytical techniques to extract insights and support decision-making.
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Build and deploy data-driven solutions using AWS SageMaker, leveraging asynchronous inference and batch transform pipelines.
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Collaborate with stakeholders to understand business priorities and translate them into data-driven solutions.
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Create transparent and compelling visualisations and presentations for technical and non-technical audiences.
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Ensure responsible use of AI technologies by adhering to governance and ethical standards.
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Contribute to CI/CD pipelines for solution deployment and monitoring.
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Preferred Skills & Experience
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Proficiency in Python, R, SQL, and experience with Spark or Snowflake.
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Hands-on experience with AWS services: SageMaker, Glue, EMR, S3, Redshift, DocumentDB.
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Familiarity with MLOps practices and model lifecycle management.
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Strong understanding of data engineering principles and cloud architecture.
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Exposure to frameworks and design concepts, with an understanding of how to treat data as a product.
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Experience in GenAI, prompt engineering, and responsible AI guardrails is a plus.
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While building predictive models is not a core responsibility, having that skill set is considered an added advantage.
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Excellent communication and stakeholder engagement skills.
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Domain Expertise
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Experience working with data across the banking and financial services domain, including products from Retail, Institutional, and Business Banking.
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📌 Data Scientist (New South Wales)
🏢 iSoft
📍 New South Wales