Position Overview: We are seeking a detail-oriented and analytical individual to join our Collections team as a Jr. Data Scientist/Data Scientist. In this role, you will utilize advanced analytics and AI/ML techniques to drive improvements in our collections processes, minimize delinquencies, and maximize recovery rates.

Responsibilities:
Analyze historical collections data to identify trends, patterns, and potential risks.
Develop, implement and track predictive models and segmentation strategies to optimize
collections efforts.
Monitor key performance indicators (KPIs) such as delinquency rates, recovery rates, and
customer satisfaction metrics.
Conduct root cause analysis on collections issues and work on actionable recommendations.
Stay updated with industry trends and best practices in collections analytics.
Thorough understanding of internal systems, tools and processes to propose relevant solutions
Evaluate third-party data for applications in collections strategies

Additional Responsibilities:
Collaborate and work with cross-functional teams including Product and IT teams to integrate analytics solutions into collections workflows.
Prepare and present regular reports and insights to senior management and stakeholders.
Mentor and upskill junior resources in the team

Requirements:
Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field. (Masters degree preferred)
0-3 years of experience in analytics, preferably in a collections or financial services environment.
Strong proficiency in statistical analysis and predictive modeling techniques.
Experience with data manipulation and querying languages (e.g., SQL) and statistical software (e.g., Python, R). Knowledge of AI/ML development and deployment
Excellent problem-solving skills and attention to detail.
Ability to analyze and work on unstructured/text data will be an added advantage.
Strong communication and interpersonal skills with the ability to collaborate across teams.

Role: Data Scientist
Industry Type: FinTech / Payments
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning

Education
UG: Any Graduate
PG: Any Postgraduate

Key Skills
Data Science analytics data manipulation predictive modeling AI statistical analysis Machine Learning SQL Python