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Executive | Data Scientist

Macquarie Group

4 years

Gurugram

Posted:4 days ago

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Job Description

Our Data Science, Analytics, and AI group within Macquarie Asset Management aspires to create a data-driven decision-making culture through the advancement of analytic and AI capabilities in support of business growth. We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play?

In this role, you will collaborate with global stakeholders to tackle complex challenges using advanced analytics, Agentic AI, and cutting-edge technologies. You will leverage state-of-the-art AI techniques to deliver transformative business impact across Private Markets, Credit, Insurance, and other financial strategies. In this role, you will take a central role in project teams to ensure the successful delivery of high-impact solutions.

What You Offer

  • Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field, with 4+ years of relevant industry experience.
  • Proven experience delivering data science and AI solutions from planning through implementation, with strong Python skills and working knowledge of cloud platforms (AWS and/or GCP).
  • Demonstrated success implementing AI and machine learning solutions that deliver measurable business value; experience in Private Markets is highly desirable.
  • Hands-on experience with Agentic AI platforms and agentic development tools, including Google Gemini, Agent Development Kit (ADK), Claude Code, Codex, Cursor, or similar technologies.
  • Strong communication, collaboration, and stakeholder management skills, with the ability to thrive in agile, fast-paced environments and clearly articulate technical solutions to diverse audiences.
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

Benefits

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:
  • 1 wellbeing leave day per year
  • 26 weeks’ paid maternity leave or 20 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
  • Company-subsidised childcare services
  • 2 days of paid volunteer leave and donation matching
  • Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members
  • 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
  • Hybrid and flexible working arrangements, dependent on role
  • Reimbursement for work from home equipment

About Macquarie Asset Management

Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk-adjusted returns. All figures as at 30 September 2025, excluding assets acquired by Nomura on 1 December 2025.

Inclusion at Macquarie

We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance. We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.

Skills Required

Data Science Analytics Asset Management Financial Services Advanced Analytics AI Techniques Insurance Statistics Computer Science AI Solutions Python Cloud Platforms

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