{"@context":"https://schema.org/","@type":"JobPosting","title":"Data Scientist

• 4+ years' experience in Data Science, working for a financial institution and ideally supporting across one or more private asset classes
• Highly proficient in Python or R, a deep understanding of cloud infrastructure, and hands-on experience building and deploying agentic AI workflows
• Experience with Anthropic Claude API or Google Gemini API strongly preferred and familiarity with Atlassian tools and scrum methodology is advantageous
• Excellent communication skills, able to translate business requirements into technical solutions and clearly articulate ML and AI approaches to a diverse range of stakeholders
• Able to thrive within a collaborative, multi-disciplinary, cross-functional agile scrum team, working alongside engineers, product owners and business stakeholders to deliver complex AI solutions

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
• 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers
• Paid fertility leave for those undergoing or supporting fertility treatment
• 2 days of paid volunteer leave and donation matching
• Access to a wide range of salary sacrificing options
• Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover
• Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Access to company funded emergency and backup dependent care services
• Recognition and service awards
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

About Macquarie Asset Management

Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk-adjusted returns.

All figures as at 31 September 2025, excluding assets acquired by Nomura on 1 December 2025.

The Data Science, Analytics and AI group within Macquarie Asset Management aspires to create a data-driven decision-making culture and support business growth by advancing our capabilities in analytics and AI. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? You will tackle complex challenges using advanced analytics and agentic AI. Leveraging state of the art AI techniques, you will deliver transformative business impact across our private market investment divisions, including Real Assets, Real Estate, and Credit and Insurance. Example challenges include automating data extraction from unstructured investment documents, building AI agents to streamline portfolio company analysis, creating intelligent systems to support deal screening workflows, and developing tools that augment analyst productivity across asset classes.