Data Scientist

Job Title: Data Scientist

Location:

About Weaver

At Weaver, we are redefining affordable housing finance in India. Launched in 2025, we are not patching legacy systems; we are building the future from a clean slate. Backed by over $170M from leading investors like Lightspeed and Premji Invest, we have acquired two profitable NBFCs to solve the cold-start problem, giving us an established business and the capital to build the right way. Our mission is to leverage technology and data to make homeownership fast, transparent, and accessible for families in Tier-2 and Tier-3 cities.

The Opportunity

This is a rare chance to join the foundational team and build the core intelligence of a modern financial institution from scratch. As a Data Scientist, you will be a key contributor to building India's first AI-native housing finance platform. You will have an outsized influence on our most critical intellectual property: the AI models that power our credit decisioning, risk management, and operational efficiency. We are looking for a first-principles thinker who is excited to solve some of the most challenging and impactful problems in fintech today.

What You'll Do

• Design, build, and deploy

  proprietary machine learning models for our core business functions, including:

• Credit Risk & Underwriting:

  Develop sophisticated models to accurately assess the creditworthiness of the informal and self-employed segments, leveraging alternative data and cash flow analysis from the Account Aggregator network.

• Proactive Collections:

  Build an Early Warning System (EWS) and bounce prediction models to identify at-risk accounts and mitigate credit losses.

• Fraud Detection:

  Use advanced techniques, including graph analytics, to identify and prevent sophisticated fraud rings.

• Sales Enablement:

  Create lead scoring and "next-best-action" models to improve the productivity of our field agents.

• Collaborate

  within a cross-functional "Pod" alongside developers, product managers, and business experts to translate business problems into data science solutions.

• Own the entire model lifecycle

  within our MLOps platform, from feature engineering and experimentation to deployment, monitoring for drift, and retraining.

• Work with a unique dataset

  , fusing traditional financial data with alternative data and proprietary information captured from our field operations.

What We're Looking For

• 2-6 years of professional experience

  as a Data Scientist, Machine Learning Engineer, or in a related role.
• Proven experience in building and deploying machine learning models in a production environment.
• Strong programming skills in

  Python

  and expertise with ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch).
• Hands-on experience with the

  AWS AI/ML stack

  , particularly Amazon SageMaker (Studio, Pipelines, Model Registry).
• Solid understanding of MLOps principles and experience with tools for model versioning, deployment, and monitoring.
• An "AI-native mindset" and a passion for leveraging the latest advancements in AI to solve real-world problems.
• Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Our Tech Stack

Our stack is modern, AI-native, and built for scale on a clean slate.

• Languages & Frameworks:

  Python, React/React Native, LangGraph (for AI Agents).

• Cloud & Infrastructure (AWS):

  Fully AWS-native, leveraging services like S3, Lambda, SageMaker, Bedrock, and Lake Formation.

• Architecture & Principles:

  API-first, Event-Driven Automation, Data Mesh, Medallion Architecture.

• Data & AI/ML:

  Apache Hudi on S3, Real-Time Feature Store, Graph Analytics, and Explainable AI frameworks like SHAP/LIME.

Why Join Weaver?

• Greenfield Work:

  Design modern AI systems from scratch, free from legacy constraints.

• Outsized Impact:

  As part of a small, foundational team, your work will directly shape our core intellectual property and competitive advantage.

• Modern Tools:

  Get access to the best tools to do your job effectively, including GitHub Copilot, Claude CLI, and a modern AWS stack.

• Strong Foundation:

  Join a company with a proven business model, significant capital, and patient investors, allowing us to focus on building for the long term.

• Profit with Purpose:

  Help families in smaller cities achieve homeownership while building a scalable, profitable business.