Lead Credit Modelling Data Scientist

The lead Data Scientist role at Scienaptic will enable you to be at the forefront of latest cutting-edge technology and create a significant and visible business impact for Scienaptic.You will be working with some of the best-in-class Engineers, Data Scientists, and Business Analytics Consultants in an environment which will encourage you to contribute widely to functional and technological aspects without worrying about conventional job silos.

Job Responsibilities:

Design, develop, and deploy machine learning based models for credit risk and related use cases.

Present model outcomes and recommendations to internal and external stakeholders.

Establish a regular cadence of client engagement including roadmap planning, updates, and reporting.

Establish model monitoring, back-testing, and performance tracking frameworks.

Work closely with internal teams including Client Engagement, Engineering and Product to ensure smooth integration and deployment.

Requirements:

8+ years of experience in data science and machine learning with prior experience in credit risk model development.

Strong proficiency in Python for data analysis and model development.

Sound knowledge of supervised and unsupervised machine learning techniques.

Strong communication and presentation skills - ability to explain complex models to stakeholders.

Experience managing client relationships or working in a consulting environment

Bachelor/master's degree in a quantitative discipline (e.g., Statistics, Economics,

Computer Science, Mathematics).