Data Science Analyst

Jobtailor; Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Jobtailor seeks a data-driven professional to manage and validate enterprise AI/ML models, overseeing risk across marketing, credit, and fraud. You will develop frameworks strengthening controls and communicate findings to senior stakeholders.

Ideal candidates bring MBA or economics/statistics master's degrees, hands-on validation experience, and strong collaboration skills to drive continuous innovation aligned with business goals.

Qualifications

• Advanced degree in economics, statistics, or related field.
• Hands-on model development or validation experience.
• Experience applying advanced statistical techniques to business problems.

Responsibilities

• Manage and control model risk associated with next-generation AI/ML models.
• Conduct independent oversight of enterprise-wide models for marketing, credit, fraud, and other types.
• Develop robust frameworks to strengthen model risk controls and regulatory compliance.
• Identify opportunities to improve model excellence and business impact.
• Communicate results to partners, senior leadership, and model committees.
• Challenge conceptual soundness, theory, and usage of predictive models.
• Institute efficient models to maximize returns and drive innovation.
• Connect agenda to enterprise priorities and stakeholder needs.

Skills

Model Risk Management

Machine Learning Expertise

Statistical Techniques

Model Development

Data Manipulation

Quantitative Analysis

Predictive Modeling

Data Science

Artificial Intelligence

Coding Proficiency

Education

MBA

Master's Degree in Economics

Master's Degree in Statistics

Tools

Python

R

Java

SQL

SAS

Job description

• Manage and control model risk associated with next-generation artificial intelligence and machine learning models
• Conduct independent oversight of enterprise-wide models for marketing, credit, fraud, and other business or risk types
• Conduct gap assessments and establish robust frameworks to strengthen model risk controls and meet heightened regulatory standards
• Conduct research to identify opportunities to improve model excellence and drive business impact
• Communicate results to partners, senior leadership, and model committees
• Challenge the conceptual soundness, theory, approach, purpose, and usage of predictive models
• Institutionalize efficient and accurate models to maximize business returns
• Innovate modeling techniques and variable creation
• Ensure modeling accuracy and improve process efficiency using machine learning
• Connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues, and shareholders
• Challenge the status quo and drive continuous innovation
• Make decisions quickly and with integrity
• Deliver customer experiences with a digital mindset

Requirements

• 0-2 years experience in analytics or big data workstreams
• MBA or Master's Degree in Economics, Statistics, or related fields from a top-tier institute
• Hands-on model development or validation experience
• Strong analytical, relationship, and project management skills for driving validation initiatives
• Experience applying advanced statistical and/or quantitative techniques to solve business problems is preferred
• Good verbal, written, and interpersonal skills
• Ability to work effectively in a team environment
• Willingness to collaborate with cross-functional teams to drive validation and project execution
• Ability to communicate complex analytical results to business partners and senior management
• Flexibility and adaptability to work within tight deadlines and changing priorities
• Experience with at least one data manipulation tool: Python, R, Java, SQL, or SAS
• Expertise in data science, machine learning, or artificial intelligence
• Coding expertise
• Knowledge of supervised and unsupervised techniques, including active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, MapReduce, random forests, gradient boosting, deep learning, and text mining algorithms

Core Competencies

Demonstrates expertise in model risk management, machine learning, and data science, with a strong foundation in statistical techniques and model validation. Capable of communicating complex analytical results effectively to stakeholders while driving innovation and collaboration across teams.

Highest-signal resume keywords

• Model Risk Management
• Machine Learning Expertise
• Statistical Techniques Application
• Model Development Experience
• Data Manipulation Tools

ATS Optimization Keywords

Hard Skills

• Model Development
• Statistical Techniques
• Quantitative Analysis
• Predictive Modeling
• Data Science
• Machine Learning
• Artificial Intelligence
• Coding Expertise
• Data Manipulation
• Model Validation

Soft Skills

• Analytical Skills
• Project Management
• Interpersonal Skills
• Team Collaboration
• Communication Skills

Certifications & Qualifications

• MBA
• Master's Degree in Economics
• Master's Degree in Statistics

Industry Keywords

• Model Risk
• Gap Assessments
• Regulatory Standards
• Business Impact
• Continuous Innovation

Tools & Technologies

• Python
• R
• Java
• SQL
• SAS