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Data Scientist

Data Scientist

Kotak Mahindra
2-5 Years
Not Disclosed

This job is no longer accepting applications

Job Description

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.

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