IndusInd Bank Hiring Drive 2024 For Data Scientist/ Business Analyst

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IndusInd Bank Hiring Drive 2024: IndusInd Bank Hiring Drive 2024 for its Data Scientist/ Business Analyst. IndusInd Bank Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. if you are interested, please apply as soon as possible.

Company Name: IndusInd Bank

Role: Data Scientist/ Business Analyst

Location: Across India

Experience: 2-4 years

Qualification: B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: Best in Industry

IndusInd Bank Hiring Drive 2024

Job Description:

  • You would be part of asset analytics and data science team and work on cutting edge problems for the bank.
  • The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank.
  • The incumbent will majorly be responsible with coming up data driven and
  • actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams.


  • BE / B-Tech/M.E./M.Tech/MBA/PGDBM from Tier 1/Tier 2 colleges
  • 2-4 years of Data Science experience preferably in Banking/ Financial Services
  • Model development experience in R, Python, SAS
  • Strong and in-depth understanding of statistics
  • Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems
  • Excellent written and verbal communication
  • Ability to build & use relationships and influence broadly across the organization
  • Results driven with strong project management skills, ability to work on multiple priorities
  • Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing


  • Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and otherbusiness outcomes.
  • Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
  • Well versed with necessary data reprocessing and feature engineering skills.
  • Strong background in Statistical Analysis.
  • Constantly look and research on ML algorithms and data sources for better prediction
  • Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy.
  • Experience in establishing/scaling up data science functions
  • Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
  • Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time
  • Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes
  • Work with product, growth, and marketing teams across product/campaign lifecycle
  • Empower product and marketing teams by creating automated dashboards and reports using PowerBI

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