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Lead Data Scientist

Primary office location
Permanent - Full time, Mid-senior
Job category
Technology - Data Scientist
Join our Data Science and Artificial Intelligence team in our Digital Bank and help us become the best technology company in financial services. We deliver exceptional end to end customer experiences, build on market-leading technology and data foundations, and enable our AI first approach.
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 34 markets and with 55 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?

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You will lead and manage data science projects end to end, defining project scope in collaboration with product managers and business stakeholders, and partner with our engineering teams to make sure you’re solving business problems at an enterprise scale.

You will be a highly technical lead, developing and implementing cutting-edge machine learning and AI algorithms, and utilising your expertise in various techniques including but not limited to supervised/unsupervised learning, deep learning, and Generative AI, to solve complex business problems.

What you offer

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  • 5+ years’ of experience as a data scientist in the financial services industry or in other highly regulated industries
  • Prior experience in successfully delivering data-driven solutions that generated tangible business value
  • Experience as a technical lead on at least three ML projects through to production with value clearly demonstrated.
  • Experience leading and managing end to end data science projects end-to-end: Define project scope in collaboration with the product managers, business stakeholders, gather requirements, conduct data exploration and analysis, build and validate models, deploy solutions, and monitor performance.
  • Proficient in SQL, R or Python, with the ability to learn new programming languages when required
  • Well versed in the use of AutoML, MLOps, or Model Lifecycle Management
  • Experience developing and deploying models in an enterprise environment with at least one cloud service provider
  • Experience with big data/cloud technologies is highly desirable.
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.

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 that’s buying a home, growing a business or investing to manage wealth.


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Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 
  • Hybrid and flexible working arrangements 
  • One wellbeing leave day per year and up to five additional days leave based on length of service
  • Up to 20 weeks paid parental leave as well as benefits to support you as you transition to life as a working parent 
  • Paid volunteer leave and donation matching 
  • Range of benefits to support your physical, psychological and financial wellbeing 
  • Access to a wide range of learning and development opportunities

Our commitment to diversity, equity and inclusion

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We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply for a role regardless of their identity, including gender, race, ethnicity, cultural identity, nationality, age, sexual orientation, gender identity, intersex status, marital or family status, neurodiversity, religion or belief, disabilities, or socio-economic background.
If you require adjustments to your working arrangements or the recruitment process, please let us know when applying.