Lead Data Scientist

Location: Noida (On-site)
Employment Type: Full-time
Experience: 8+ Years
About Novel Patterns:
Novel Patterns is an AI-native financial intelligence company building intelligent decision platforms for financial institutions. Founded eight years ago, the company has grown profitably by solving complex, real-world challenges across banking, lending and investment management.
Its platforms combine financial domain intelligence, AI reasoning, decision orchestration and governance to help financial institutions automate workflows, strengthen risk assessment, detect fraud, monitor loan portfolios and manage investments at scale. Today, Novel Patterns serves 140+ financial institutions across India, Africa and Southeast Asia.
Its platforms include:
DecisionOS – An intelligence platform for lending that connects financial data, decision-making, workflows and governance.
Genesis – Unified investment management for Portfolio Management Services (PMS), Mutual Funds and Alternative Investment Funds (AIFs).
CART – AI-powered credit underwriting, Credit Appraisal Memorandum (CAM) automation and machine learning-driven fraud detection.
Hawkeye – Post-disbursement loan monitoring and early warning intelligence to identify emerging credit risks.
MyConcAll – Video-based KYC, Personal Discussion (PD) and customer engagement intelligence.
At Novel Patterns, the focus is on building technology that enables financial institutions to make smarter, faster and more informed decisions while maintaining control, transparency and governance across critical financial operations.
Role Overview:
As a Lead Data Scientist at Novel Patterns, you won’t just build models - you’ll shape how
financial institutions make decisions at scale. You will lead the design and deployment of production-grade ML systems that power credit underwriting, fraud detection, early warning systems, and portfolio intelligence used by banks and NBFCs across geographies. This is a hands-on leadership role with direct
ownership of outcomes in live customer environments.
Why This Role Matters
• Your models run in live production, not pilots or POCs
• You work on large-scale, real-world financial data
• Your decisions influence millions of loans and transactions every month
• You mentor and shape the next generation of applied AI talent
Key Responsibilities:
Lead end-to-end data science initiatives from problem framing to deployment and monitoring.
Design, build, tune, and productionize ML/statistical models for credit risk, fraud and portfolio analytics.
Analyze large structured and unstructured datasets to identify patterns, anomalies, and insights.
Partner closely with product, engineering, and business teams to embed models into core platforms.
Mentor junior data scientists and establish best practices for experimentation and deployment.
Ensure robustness, explainability, accuracy, and compliance of AI models.
Stay current with advances in AI/ML and apply them pragmatically to product innovation.
Qualifications & Skills:
Master’s/PhD in Data Science, Statistics, Computer Science, Mathematics, or related field
8+ years of experience in data science, including leadership of complex initiatives
Strong grounding in ML algorithms, statistics, and applied AI
Hands-on experience building and deploying models end-to-end
Domain exposure to fintech, credit risk, fraud, or financial modeling preferred
Strong communication skills with ability to influence technical and non-technical stakeholders
What We Offer:
• Ownership of mission-critical AI systems at scale
• Collaborative, high-caliber product environment
• Competitive compensation and long-term growth opportunities
• Continuous learning and leadership exposure

Work arrangement
No