at Macquarie
Investment BankingPosted 2 months ago
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Lead Data Scientist in Macquarie's Banking and Financial Services AI team, delivering data solutions and enabling group-wide initiatives. You will develop and deploy predictive machine learning and generative AI use cases, collaborating with stakeholders to solve business problems and improve workflows. You will mentor junior data scientists and help establish technical standards within the team. The role is permanent full-time, based in Sydney.
- Compensation
- Not specified
- City
- Sydney
- Country
- Australia
Currency: Not specified
Full Job Description
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Lead Data Scientist
Additional office locations
Sydney
Job ID
21249
Date
19-Mar-2026
Permanent - Full time,
Job category
BFS - Data Scientist
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Join our innovative and collaborative Macquarie's Banking and Financial Services AI team to deliver data solutions and enablement across the group. We are accelerating the digital enterprise by supporting strategic and cross-group initiatives related to data and artificial intelligence.
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. Youll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.
What role will you play?
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As a Lead Data Scientist, you will work on a diverse portfolio of use cases, developing and deploying solutions that leverage both predictive machine learning and cutting-edge generative AI. You will work closely with multiple stakeholders to solve business problems, create insights, and enhance workflow efficiencies. You will also support the development of junior data scientists to enhance team capability.
What you offer
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- 5+ years of enterprise experience as a Data Scientist, delivering both predictive and Generative AI use cases through to production and a post-graduate degree (Masters or PhD) in a quantitative discipline such as Computer Science, Statistics, Engineering, or Mathematics is highly desirable. Ideally, you'd have a solid understanding of AI Risk and Governance principles
- Proven track record of mentoring and growing junior data scientists including establishing technical standards, conducting rigorous code/model reviews, and fostering a culture of continuous learning and high performance
- Experience and enthusiasm for Generative AI, including hands-on experience with prompt engineering, evaluation practices, agentic coding, AI-driven software engineering, and tools like the Agent Development Kit
- Proven experience in engineering features from large, complex datasets and schemas and proficiency in SQL is expected, with hands-on experience in BigQuery or other major SQL-based data warehouses
- Demonstrable proficiency in Python and its scientific computing ecosystem. You should have extensive experience with libraries for data manipulation and machine learning, such as scikit-learn, pandas, transformers/Hugging Face, and deep learning frameworks like PyTorch or TensorFlow
- Deep, hands-on expertise in MLOps and the end-to-end machine learning lifecycle. Highly capable designing scalable deployment architectures - such as AutoML workbenches like DataRobot or the ML stack of a major cloud provider, such as GCP Vertex AI, AWS SageMaker, or Azure AI Studio
- In addition to your core skillset, we highly value your adjacent abilities, particularly around data analytics, telling stories with data, working within large engineering teams, MLOps and CI/CD, product thinking, and a strong general understanding of software development best-practices like code version control (e.g. git), end-to-end data workflow development and automation (e.g. Dataform, Control-M) and CI/CD.
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.
What we offer
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At Macquarie, youre empowered to shape a career thats rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:
- 1 wellbeing leave day per year
- Up to 5 additional service bonus leave days per year
- Up to 20 weeks paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks paid leave for non-primary caregivers
- 2 days of paid volunteer leave and donation matching
- Up to 12 months gender affirmation leave, including 6 weeks paid leave
- Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
- Access to a wide range of salary packaging options
- Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
- Hybrid and flexible working arrangements, dependent on role
- Reimbursement for work from home equipment
About Banking and Financial Services
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Banking and Financial Services is our technology-driven retail bank. You will be part of a team that supports clients to achieve their full potential - whether thats buying a home, growing a business or investing to manage wealth.
Our commitment to diversity, equity and inclusion
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We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.
Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.
