Role & responsibilities

1-2yrs exp:

Key Responsibilities
Analyze business data to identify trends and actionable insights.
Build and maintain data pipelines and analytical models.
Assist in developing machine learning models for business and risk use cases.
Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
Create reports and dashboards for business stakeholders.
Collaborate with Product, Business, Risk, and Engineering teams.
Continuously improve model accuracy and data quality.

3-5yrs exp:

Key Responsibilities
Develop and deploy advanced machine learning and AI models.
Build predictive models for credit risk, lending, collections, and customer analytics.
Perform feature engineering, model validation, and performance monitoring.
Translate business problems into data-driven solutions.
Work closely with Product, Risk, Business, and Engineering teams to implement analytical solutions.
Present insights and recommendations to senior stakeholders.




Mentor junior data scientists and promote best practices in analytics and model development.

Preferred candidate profile

1-2yrs exp:

Required Skills
Robust knowledge of Data Analytics and Data Science
Proficiency in Python
Basic understanding of Machine Learning and AI concepts
Knowledge of SQL and Excel
Understanding of statistics and predictive analytics
Exposure to Power BI/Tableau is a plus
Basic understanding of the NBFC/Banking domain is preferred

3-5yrs exp:

Required Skills
Strong expertise in Business Analytics and Data Science
Advanced proficiency in Python
Hands-on experience with AI/ML algorithms and model deployment
Robust understanding of IFRS 9 (PD, LGD, EAD, Expected Credit Loss models)
Experience in the NBFC/Banking/Financial Services domain
Robust SQL skills and experience with Power BI/Tableau
Familiarity with cloud platforms (AWS, Azure, or GCP) is an advantage

📌 Data Scientist Delhi
🏢 intellisolvers
📍 Delhi