WeRize - Lead Data Scientist - AI/ML Solution

WeRize; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

WeRize in Bengaluru, India is seeking a data scientist with 4–8 years of hands-on experience to solve problems across credit, risk, fraud and customer service using AI/ML. You will work with leadership to manage the model lifecycle from development to deployment and monitoring.

You will collaborate with business units to translate challenges into data-driven solutions, mentor junior team members, and present insights to stakeholders with strong communication skills.

Qualifications

• 4–8 years hands-on experience in Data Science, ML, or Applied Analytics.
• Strong analytical and problem-solving skills with business context.
• Excellent written and verbal communication with stakeholders.
• Experience mentoring junior team members and working in ambiguous environments.
• Financial services/fintech exposure and model development domain knowledge are a plus.

Responsibilities

• Build AI/ML solutions to solve business problems across credit risk, fraud, collections, customer service, and other business functions.
• Own the complete machine learning model lifecycle from problem definition and model development to deployment, monitoring, and optimization.
• Develop predictive and prescriptive models using structured and unstructured data.
• Collaborate with business stakeholders to translate business challenges into data-driven solutions.
• Mentor and guide junior data scientists and analysts.
• Present analytical insights and recommendations to technical and non-technical stakeholders.

Skills

Experience in Data Science

Strong communication

Mentoring

Problem solving

Self-driven

Tools

Python

SQL

Job description

About The Role

You will help solve problems at WeRize across credit/fraud risk, business, collections, customer service, etc through AI/ML techniques. As a key member of the team, you work closely with leadership and business/functional units to manage model lifecycle of build, validate, implement, monitor, and update.

Responsibilities

• Solve business problems across all functions using AI/ML.
• Ownership of model lifecycle management.
• Guide and train junior team members.

Key Responsibilities

• Build AI/ML solutions to solve business problems across credit risk, fraud, collections, customer service, and other business functions.
• Own the complete machine learning model lifecycle from problem definition and model development to deployment, monitoring, and optimization.
• Develop predictive and prescriptive models using structured and unstructured data.
• Collaborate with business stakeholders to translate business challenges into data-driven solutions.
• Mentor and guide junior data scientists and analysts.
• Present analytical insights and recommendations to technical and non-technical stakeholders.

Required Skills

• 4 to 8 years of hands‑on experience in Data Science, Machine Learning, or Applied Analytics.
• Strong proficiency in Python (mandatory) and SQL.
• Experience building and managing ML models across supervised and unsupervised learning using structured and unstructured data.
• Hands‑on experience with one or more of the following: Credit Risk Scorecards, Fraud Detection, Propensity Models, Optimization, NLP, Classification, Regression, Clustering, and Model Lifecycle Management.
• Strong analytical, quantitative, and problem‑solving skills with the ability to translate business problems into scalable AI/ML solutions.
• Excellent written and verbal communication skills with experience working directly with business stakeholders.
• Self‑driven, comfortable working in ambiguous environments, and capable of mentoring junior team members.
• Demonstrable experience in financial services, fintech, banking, or lending with exposure to financial domain‑specific model development.