Data Scientist

4 days ago

Sydney, New South Wales, Australia NIAD Group Full time $120,000 - $180,000 per year

New Role- Data Scientist

Location-
Sydney

Duration -
12-month duration.

Requirement –
Immediate. (for a good candidate we can consider 2 weeks' notice).

About the Role

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
    .
  • Exposure to 
    financial crime and transaction monitoring
     use cases is highly preferred.
  • Understanding of regulatory and compliance considerations in financial data environments is desirable.

Ideal Candidate Profile

  • A problem-solver with a growth mindset and a passion for data.
  • Comfortable working in agile, cross-functional teams.
  • Able to balance technical depth with business impact.

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