Macquarie
Executive - Data Scientist
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
24 August 2026
What they need
Job Summary
We have an exciting opportunity to join our Data Science team supporting surveillance. You will join a team of collaborative and high-performing members focused on delivering advanced analytical solutions and detection models to manage risk.
Location
Location: Gurugram
Job Type
Permanent - Full time
Role Overview
In this role, you will play a significant role in the end-to-end ownership of the product in a modern DevOps culture. You will be responsible for NLP model development, MLOps model risk management, and governance in iterative cycles. Your function will require an agile mindset to deliver, and stakeholder management to work with various colleagues and vendors.
Responsibilities
- In this role, you will play a significant role in the end-to-end ownership of the product in a modern DevOps culture.
- You will be responsible for NLP model development, MLOps model risk management, and governance in iterative cycles.
- Your function will require an agile mindset to deliver, and stakeholder management to work with various colleagues and vendors.
Requirements
- Minimum bachelor s degree with strong academic performance, and relevant experience in statistics, engineering, mathematics, computer science or another relevant quantitative discipline;
- Minimum 2-5 years experience in Model development, python programming & Data Analytics;
- Proficiency with Python, SQL, AWS;
- Experience in Machine Learning specially NLP;
- Prior experience with trading in financial markets and investment funds, their operation and risk management for potential mishandling or manipulation is advantageous
Skills
- Python
- SQL
- AWS
- NLP
- Machine Learning
- Data Analytics
- MLOps
- Model Development
- Risk Management
Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
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