Senior Data Scientist

AustralianSuper

AustralianSuper, a member-centric superannuation fund, is expanding its Member Segments and Performance department. Their mission is to help members achieve optimal retirement outcomes through strategic growth initiatives. This role requires collaboration with member-focused teams and stakeholders to identify high-value opportunities using data science solutions.

In this role you can expect to have the responsibilities:

• Develop and execute data science projects that deliver member benefits
• Create and deploy machine learning solutions with CI/CD integration
• Ensure machine learning solutions are effectively integrated for value
• Present data science insights to non-technical and senior stakeholders
• Collaborate to create scalable processes for rapid ML development
• Identify new data science opportunities with stakeholders
• Improve member programs for enhanced engagement and service

This role comes with the following benefits:

• Commitment to ongoing learning and career development
• Generous leave entitlements
• Flexible working environment

This role requires you to have:

• Minimum 5 years of professional experience in a similar role
• Expertise in supervised and unsupervised machine learning
• Proficiency in Python or R
• Experience with cloud platforms, particularly MS Azure
• Strong communication skills for technical and non-technical audiences
• Commercial focus with demonstrated business acumen

You would benefit from having:

• Postgraduate qualification in Data Science or related fields
• Experience in MLOps practices
• Familiarity with experimental design and econometrics
• Experience in superannuation or financial services

AustralianSuper values diversity and inclusivity, offering flexible work arrangements and career opportunities. Australian or New Zealand citizenship or permanent residency is required. They manage this vacancy directly, with support from preferred agency partners if needed.