Lead Data Scientist - Agentic AI

Macquarie Bank Limited; City Of London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A global asset management firm is seeking a Lead Data Scientist to drive the future of AI and data science. You will collaborate with cross-functional teams, lead a high-performing global team, and pioneer innovative AI solutions. The ideal candidate has advanced skills in SQL and Python, along with strong leadership capabilities. This role offers a hybrid work environment and benefits focused on well-being and professional development.

Benefits

25+ days of annual leave

Paid parental and fertility leave

Access to Employee Assistance Program

Hybrid and flexible working arrangements

Learning and development opportunities

Qualifications

• Advanced SQL and strong Python skills with NLP experience.
• Experience with Agentic AI platforms, preferred Google Gemini.
• Proven track record of implementing data science and AI solutions with measurable ROI.
• Ability to communicate ML and AI value to senior leadership.
• Empathetic leader who fosters positive team culture.

Responsibilities

• Partner with leaders to architect the future of AI and data science.
• Lead and grow a high-performing global team.
• Pioneer production-grade Agentic AI capabilities.

Skills

Advanced SQL

Python

Natural Language Processing (NLP)

Implementation of data science and AI solutions

Influential communication

Empathetic leadership

Education

Master’s or Doctorate in Data Science, Mathematics, Statistics, or Computer Science

Tools

Agentic AI platforms

Google Gemini

Job description

Macquarie Asset Management is a leading global asset manager across public and private markets, managing approximately A$941 billion for institutions, governments, foundations and individuals. With a strong position in private markets and alternatives across real assets, real estate, credit and insurance, we pair operating expertise with proprietary data. Our Data Science, Analytics and AI team turns that advantage into outcomes by embedding a data‑driven decision‑making culture and advancing analytics and AI to drive growth, transforming how private markets are managed, scaled and serviced.

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?

As the Lead Data Scientist at Macquarie Asset Management, you will partner with business leaders, engineering, and cross-functional teams to architect the future of AI and data science, owning the end‑to‑end strategy, influencing executive and board‑level decisions, and shaping how AI transforms our business. You will lead, inspire, and grow a high‑performing global team, fostering technical excellence, diversity of thought, and a culture of ambitious experimentation. Leveraging modern platforms, you will pioneer production‑grade agentic AI and digital co‑worker capabilities by harnessing advanced machine learning, natural language processing (NLP), and large language models (LLMs) to solve complex challenges and drive innovation across investment management, client servicing, fund management, and corporate operations.

What you offer

• Advanced SQL; strong Python and NLP experience
• Experience with Agentic AI platforms; familiarity with Google Gemini and the Agent Development Kit (ADK) viewed favorably
• Proven track record of implementing data science and AI solutions with measurable ROI
• Ability to articulate the value of ML and AI to senior leadership, driving organisational alignment
• Influential communicator who tailors content to technical and non‑technical audiences; comfortable influencing cross‑functional stakeholders
• Empathetic, collaborative leader who fosters a positive team culture and champions feedback
• Relevant tertiary qualification (Master’s or Doctorate preferred) in Data Science, Mathematics, Statistics, Computer Science or equivalent practical experience
• Domain experience in Private Markets and Private Credit 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.

What we offer

• 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

Macquarie Asset Management is a global asset manager that aims to deliver positive impact. We’re trusted by institutions, pension funds, governments, and individuals to manage billions in assets globally. We provide access to specialist investment expertise across a range of capabilities including fixed income, equities, multi‑asset solutions, private credit, infrastructure, green investments, natural assets, real estate, and asset finance.

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 regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, 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 as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.