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1 Week ago

Data Scientist

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Sonipat, Haryana, India
Information Technology
Full-Time
Macquarie Group

Overview

Join our Data Science, Analytics and AI team supporting Macquarie Asset Management and you will have an opportunity to work in a dynamic and collaborative environment. Our team enables a data-driven culture for decision-makers by leveraging on advancements in analytics, and AI capabilities in support of business growth.

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?

In this role, you will collaborate with various business and analytics leaders to generate insights and answer queries using statistical analysis and/or machine learning, natural language processing, and generative AI. As a Data Scientist, you will use your expertise to propose innovative ways to look at problems and using these approaches on available enterprise and third-party data. You are also expected to work with global teams in the organization across different time zones.

What You Offer

  • Bachelor’s or Master’s degree in computer science, applied mathematics, statistics, or related field, with 6 years of postgraduate experience or 4+ years in data analysis and predictive modeling
  • Proficiency in machine learning algorithms, including deep learning techniques (GANs, VAEs, Transformers), and experience with ML Ops/AI Ops.
  • Expertise in cloud platforms (AWS, Azure, GCP) for scalable model training and deployment, along with knowledge of classical data science and generative AI methodologies.
  • Hands-on experience with statistical and predictive modeling (e.g., regression, clustering, neural networks) and at least two areas such as deep learning, NLP, causal inference, or time series forecasting
  • Proficient in tools like SQL, R, or Python for data analysis

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 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 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, 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.

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