Join our innovative and collaborative team as a Senior Data Scientist in our Digital team. Reimagine the future by efficiently creating enriching digital experiences for customers and harnessing the power of data and AI to deliver value for our customers. We are a team of collaborators, and we welcome partnering with you to accelerate digitalisation.
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? You will oversee data projects from inception to deployment, ensure the delivery of solutions that offer actionable insights and enhance workflow efficiencies for business teams. You will guide non-technical stakeholders through the complexities of solving business challenges using data and technology, while also collaborating with technical experts like Solution Architects, Developers, and Data Engineers to design and implement robust data science pipeline solutions.
In this role, you will ensure solutions are seamlessly integrated with broader systems, adhere to strict deployment and regulatory standards, and are effectively tested and implemented in partnership with Technology Partners and Enterprise Technology. Additionally, you will communicate regularly with all project stakeholders, maintain compliance with Macquarie's regulatory standards, and mentor junior analysts to foster a successful project delivery environment.
What you offer Master's or PhD degree in Computer Science, Data Science, Machine Learning or related field Strong background in Generative AI, Large Language Model (LLM), prompt engineering, Natural Language Processing (NLP), including experience with text representation and document processing Proficiency in Python, experience with Generative AI frameworks and Deep Learning algorithms for building Chatbots (OpenAI python packages, LangChain, LlamaIndex, Pytorch, TensorFlow) Experience building Retrieval Augmented Generation (RAG) solutions end-to-end, along with testing and evaluation of RAG solution performance Experience using Data Science platforms such as Azure Machine Learning Studio and Dataiku. 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 Corporate Operations Group In our Corporate Operations Group, you will work at the heart of Macquarie. Join a collaborative team who accelerate digitalisation, sustainability, and social impact for the benefit of our people, customers, shareholders, and communities. Our teams include technology, digital transformation and data, operations, human resources, business services, corporate strategy and solutions, and the Macquarie Group Foundation.
Benefits 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 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.
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