Associate Data Science

NPCI; Mumbai; On-site; INR 1,800,000 - 2,600,000; Full time

Benefits offered by this job

Comprehensive Coverage

Employee Assistance Program

Annual Wellness Bouquet

Parental Leave

Relocation support

Mobile reimbursement

Job summary

NPCI Data Analytics – Market Innovation is seeking a Data Scientist – AI Engineer to design and deploy ML/DL models, with emphasis on graph AI, generative AI, and agentic systems for India's digital payments ecosystem.

You will collaborate with IITs/IISc, drive end-to-end AI pipelines, and ensure low latency, scalability, and robust production systems in a fast-paced environment.

Qualifications

• Strong in supervised & unsupervised learning.
• Statistical modeling and feature engineering for large-scale data.
• Experience translating business problems into scalable AI systems.

Responsibilities

• Develop and deploy ML/DL models for fraud, risk, and NLP tasks.
• Build and integrate graph AI, LLM-powered apps, and agentic workflows.
• Design end-to-end AI systems with production deployment and monitoring.

Skills

ML/DL models

Imbalanced data

Graph AI

LLM & Generative AI

Prompt engineering

GPU optimization

Python

PyTorch

TensorFlow

GNN

Education

B.Tech/MTech/MSc/MCA (PhD preferred)

Tools

PyTorch Geometric

CUDA

Job description

National Payments Corporation of India (NPCI) | Full Time

The National Payments Corporation of India (NPCI) is a pivotal institution in India’s digital payments ecosystem, established by the Reserve Bank of India (RBI) and the Indian Banks’ Association (IBA). It operates under the Payment and Settlement Systems Act, 2007, and is incorporated as a “Not for Profit” company under Section 25 of the Companies Act 1956 (now Section 8 of the Companies Act 2013). NPCI is dedicated to building world-class digital payment infrastructure through innovative and efficient retail payment platforms. As an Equal Opportunity Employer, NPCI is committed to fostering an inclusive workplace culture, with zero tolerance for discrimination based on race, ethnicity, disability, gender identity, or sexual orientation, including support for the LGBTQ+ community.

Our Culture

TheNPCIWAY –OurGuidingPrinciples

At NPCI, we foster a culture of Inclusion, Innovation, and a High- Performance Workplace .

The NPCIWAY isnotjustaframework - it’sasharedcommitmentbyevery individual to align with our evolving business needs, dynamic market conditions, and workforce expectations.

FiveTenetsoftheNPCIWAY

• ForwardThinkingMind-Set
• CustomerFirst
• LeadWith Purpose
• PassiontoDeliver
• AllSucceedTogether

Employee Perks and Benefits

Insurance&Wellness

• ComprehensiveCoverage :Medical,accidental,andlifeinsurance.
• Employee Assistance Program : Onsite medical center, financial/legal counselling, mental wellness.
• AnnualWellnessBouquet :Holisticwellbeingsupport

Family &Childcare

• ParentalLeave :Inclusivematernityandpaternityleave.
• Nanny at home Support: Assistance for Working Parents

Mobility&Lifestyle

• MobilityBenefits :Relocation,transfers,andtravelsupport.
• HomeLoanInterestSupport :Upto50%reimbursement*
• MobileReimbursement :Newhandsetevery2years.
• CarLease,SalaryAdvance,SubsidizedMeals.
• Reward&RecognitionProgram.
• TechnologyInnovation: PatentsandIPRightspolicy.

RetirementPlanning

• ProvidentFund(PF) and Gratuity Contributions .

Why Join Us

At NPCI, you’ll be part of a purpose-driven organization shaping the future of digital payments in India and beyond. NPCI offers a unique opportunity to work on cutting-edge projects that directly impact millions. We foster a culture of innovation, inclusion, and high performance, where every individual is empowered to lead with purpose and deliver with passion. With a strong focus on employee wellbeing, continuous learning, and collaborative success, NPCI is more than just a workplace - it’s a platform to grow, contribute, and make a meaningful difference.

You will be part of NPCI’sMarket Innovation team, working at the intersection ofadvanced machine learning, deep learning, graph AI, and Generative AIto build next-generation intelligent systems for India’s digital payments ecosystem.

This role focuses on solvingIndia-scale problemssuch asfraud detection, mule/AML risk modeling, transaction intelligence, and conversational AI, using bothclassical ML and cutting-edge AI architectures (LLMs, GNNs, Transformers, Agentic AI systems).

You will designend-to-end AI systems—from problem formulation, feature engineering, and model development toGPU-accelerated optimization and production deployment, ensuringlow latency, scalability, and robustness.

The role offers a unique opportunity to work on:

• Graph-based fraud detection systems
• Agentic AI & LLM-powered platforms (RAG, MCP, workflows)
• GPU/CUDA optimized AI pipelines
• Privacy-preserving and federated AI systems

You will collaborate withtop academic institutions (IITs/IISc)and cross-functional teams to push the boundaries of applied AI in financial systems.

• Job Title:Data Scientist – AI Engineer
• Division:NPCI Data Analytics – Market Innovation
• Education:B.Tech / M.Tech / MSc / MCA (PhD preferred) in CS, AI, DS, Mathematics or related field
• Employment Type:Full-time
• Role Type:Permanent

Key Responsibilities

Machine Learning & Advanced Modeling

• Develop and deployML/DL models(Logistic Regression, RF, XGBoost, NN, CNN, Transformers, GANs)
• Work onimbalanced datasetsusing advanced sampling and cost-sensitive learning

Graph AI & Advanced Systems

Generative AI & Agentic Systems

• BuildLLM-powered applications(chatbots, complaint intelligence, document analysis)

Implement:

• Agentic workflows & MCP (Model Context Protocols)
• Prompt engineering & LLM fine-tuning
• PerformEDA, feature engineering(temporal, behavioral, aggregated features)
• Work withstructured, semi-structured, and unstructured data
• Latency & throughput
• GPU performance (CUDA-based optimization)

Use libraries such as:

• Designcustom loss functions(weighted BCE, cost-sensitive)

Applybusiness-aligned metrics:

• Precision@K, Recall, ROC-AUC, PR-AUC
• Userobust validation techniques(cross-validation, time-based splits)

Deployment & Production Systems

• Integrate models intobatch and real-time production systems

Monitor:

• Performance stability
• Business impact
• Work withdata engineers, product teams, and business stakeholders
• Contribute toresearch, innovation, and academic collaborations
• Stay updated onlatest AI advancements (LLMs, Graph AI, Federated Learning)

Requirements

Required Technical Skills

Core ML & Data Science

Strong in:

• Supervised & unsupervised learning
• Statistical modeling (Logistic Regression, DA)
• Tree models (RF, XGBoost, LightGBM)
• NN, CNN, Transformers, GANs

Generative AI & LLM Stack

Hands-on experience with:

• Prompt engineering, fine-tuning
• Agent frameworks & MCPs

Graph AI

Experience with:

• GNN, GCN, GAT
• Graph-based fraud detection
• Network analytics

Programming & Tools

Strong proficiency in:

Frameworks:

• PyTorch / TensorFlow
• PyTorch Geometric

Key Skills and Experience Required

Strong foundation in:

• Mathematics, probability, statistics
• Data structures & algorithms

Experience with:

• Imbalanced datasets & sampling techniques
• Custom loss functions & business metrics

Knowledge of:

• Problem-solving ability
• Ability to translate business problems into scalable AI systems