Senior Data Scientist | Agentic Artificial Intelligence Applications

Job Description

Senior Data Scientist | Agentic Artificial Intelligence Applications Our Data and AI team within the Operations division of the Corporate Operations Group plays a critical role in leveraging data and AI to drive business objectives, enhance operational efficiency, scalability of services, and mitigate risks. You will join a team that analyses complex processes and datasets, collaborates with stakeholders across various operating groups, and delivers measurable outcomes in a fast-paced environment. 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? As a proactive individual with a strong blend of analytical and customer mindset, you will develop and deploy AI models and data products to achieve business objectives. You will perform exploratory data analysis, use statistical methods and machine learning to generate actionable insights, and work closely with stakeholders to align and integrate data solutions. Additionally, you will identify opportunities for AI-driven solutions to enhance business performance and operational efficiency. What you offer Proven success in implementing AI applications (LLM, Agentic AI, generative AI, etc.) with measurable business outcomes. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills with the ability to effectively communicate complex technical concepts to non-technical stakeholders. Proficiency in programming languages such as Python, R, or SQL. Proficiency with data transformation and visualization tools such as Dataiku and Power BI or equivalent. Experience with cloud platforms such as AWS, Azure, or Google Cloud and familiarity with machine learning frameworks. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. 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 to deliver for our people, businesses, and their customers. We’re a global, collaborative team with deep expertise in technology, data, digital, market operations, corporate real estate, business resilience, procurement, and global security. 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 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. 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. #J-18808-Ljbffr