Data Scientist

About the team:

The Data Science team at WeRize plays a critical role in all the decisions, both small and big. This is a strategic team that helps solve business problems across all parts of the organization to drive growth, manage risk, improve operations, etc.

Some examples of the problem statements that this team addresses:

• Should credit be offered to a segment of customers? What should the interest rate,

tenure, and sanction amount be?

• How to improve collections efficiency?
• How to reduce the cost of customer service operations?

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.

What are we looking for?

• Demonstrable Modelling experience: In depth understanding of model build and model

lifecycle management across supervised and unsupervised learning using structured and

unstructured data. (eg: Risk Scorecard, Propensity models, Optimization, NLP, etc.)

• Excellent coding skills: Python coding (a must skill) and developing SQL queries.
• Strategic & Analytical Orientation: Exceptional Logical, Analytical, Reasoning skills

complemented by rigor and strong quantitative orientation.

• Strong communication skills: Impeccable written and oral communications with ability to

engage directly with stakeholders.

• Self-driven: Motivated and comfortable with ambiguity.
• Guide & Train: Ability to guide and train juniors.

Preferred Qualifications & Experience

• Level of experience: 2 to 5 years
• Graduate or Postgraduate in Engineering, Math, Statistics, Economics, Operations

Research

• Should have demonstrable financial domain specific working knowledge of model

development.