Location: Noida (On-site)
Employment Type: Full-time
About Novel Patterns
At Novel Patterns, we build technology that quietly powers some of the fastest-growing lending and investment businesses across the globe.
Founded 8 years ago and bootstrapped by design, we've grown profitably by solving hard, real-world problems in BFSI not by chasing vanity metrics. Today, 120+ financial institutions across 3 continents rely on our platforms every day to underwrite loans, manage investments, detect fraud, and make smarter decisions at scale.
What sets us apart is not just what we build, but why we build it.
Our products process 600M+ records every month, help clients achieve:
- 6x AUM growth in lending portfolios
- 8% GNPA reduction even while growing loan books at 50% YoY
- 65% productivity improvement and 70% reduction in turnaround time
- 10+ crore saved every day through real-time fraud detection
Behind this impact is a tight-knit team of 110+ engineers, data scientists, and domain experts, including 20+ AI & Data Science specialists, working at the intersection of technology, data, and financial decisioning.
Our product suite spans:
- Genesis Unified investment management for PMS, Mutual Funds & AIFs
- CART AI-led credit underwriting, CAM automation & ML-driven fraud detection
- Hawkeye Early warning systems & loan monitoring
- Data Dimensions Data platforms, ML deployment & analytics
- MyConcAll Video-based KYC, PD & customer engagement intelligence
If you're excited by high-scale systems, real production AI, and building products that directly impact financial ecosystems, you'll feel at home here.
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
