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.
Requirements:
- 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
Responsibility:
- 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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