Add expected salary to your profile for insights As a result of a secured engagement with one of our partners, Helix requires a Data Scientist to join us on a long-term contract (12 months with expected extensions). 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. Helix is a specialist in the consulting and talent provision space, we are passionate about what we do and how our work positively impacts Australians. If you are mission-focussed and would like to make a difference during your next assignment, get in touch with us to hear about what we have coming up at [emailprotected] Unlock job insights Salary match Number of applicants Skills match Your application will include the following questions: Which of the following statements best describes your right to work in Australia? How many years' experience do you have as a data scientist? What's your expected annual base salary? To help fast track investigation, please include here any other relevant details that prompted you to report this job ad as fraudulent / misleading / discriminatory. J-18808-Ljbffr
