Job Title :Data Scientist
Exp : 2-5- years Data Science
Location : Bangalore
Notice Period: max 45 Days
Job Description:
We are seeking a highly motivated and detail-oriented Data Science to join our Team.
Skill requirements:
- Bachelors/Masters in a quantitative field (Engineering, Statistics, Econometrics, Mathematics, Operations Research, Computer Science etc).
- Strong programming background (Python, Pyspark, SAS, SQL etc.) with proficiency in Microsoft Office suite. Experience in financial modeling is an added advantage.
- Proven track record of working with large datasets. Experience in data visualization tools such as Power BI is an added advantage.
- Understanding of credit card product structures, risk models, and portfolio management techniques.
- Strong quantitative skills with the ability to analyze complex datasets, derive insights, and present findings to non-technical stakeholders.
- Ability to develop and deliver actionable recommendations to drive business improvements.
- Excellent communication skills with the ability to convey complex data insights in a clear and concise manner.
- Strong interpersonal skills and the ability to work effectively in a cross-functional, team-oriented environment.
- Familiarity with ML models - XGBoost, Light GBM, Random Forests, SVMs, multivariate analysis, clustering, dimensionality reduction is an added advantage.
- Experience in carrying out data processing including statistical analysis, variable selection, and dimensionality reduction, custom feature engineering, as well as the evaluation of new alternate data sources.
- Experience in partnering with business teams to implement strategies in production.
Roles and Responsibilities:
- Analyze large datasets related , customer behavior, transaction trends, and operational performance.
- Interpret complex data and provide actionable insights to business stakeholders for decision making.
- Collaborate with senior management to understand business objectives and deliver data drive insights to support strategic initiatives.
- Assist in the development of business cases for new credit card products, marketing strategies and customer acquisition programs.
- Conduct ad-hoc analysis and scenario modeling to evaluate the impact of potential business changes or initiatives.
- Support the optimization of portfolio by identifying opportunities for product enhancements, risk mitigation, and customer segmentation.
- Work closely with risk, marketing, finance, and operations teams to align on data, models, and strategies.
- Ensure accuracy, integrity, and consistency of data used for analytics and reporting.
- Collaborate with IT and data management teams to improve data infrastructure and data governance practices.
- Automate processes to ensure scalability of solutions by collaborating with cross-functional teams.
