Data Scientist

UniSuper

UniSuper, a renowned name in retirement solutions, is searching for a Data Scientist to join their high-performing team. This role supports the Data Office by providing insightful data analysis, enabling stakeholders to make informed decisions. Team members collaborate with Business SMEs, Data Analysts, Modellers, and Data Engineers to enhance UniSuper's enterprise projects.

In this role you can expect to have the responsibilities:

• Identify and mitigate financial crime risks.
• Leverage large datasets for financial crime analysis.
• Enhance fraud detection models.
• Detect anomalies using advanced analytics.
• Develop dashboards and reports for stakeholders.
• Work with data teams to connect various data sources.
• Design and build PowerBI dashboards.

This role comes with the following benefits:

• Supportive culture fostering growth and career development.
• Commitment to diversity and inclusion.

This role requires you to have:

• Experience in Python and R.
• Proficiency in T-SQL.
• Knowledge of Databricks Machine Learning.
• Expertise in Power BI.
• Understanding of Control-M.
• Experience with cloud native platforms like Azure.
• Proven ability in data visualisation.
• Stakeholder management skills.

You would benefit from having:

• Experience in Financial Services, specifically superannuation.
• Risk assessment certifications such as ACAMS.
• Familiarity with Agile delivery models.
• Knowledge of CI/CD pipelines for data analytics.

UniSuper embraces diversity and encourages applications from candidates of various backgrounds. They require candidates to spend 60% of their time in the office to promote collaboration.