Data Scientist at IndusInd Bank

Short Description:

The Data Scientist role at IndusInd Bank's Digital Business Unit involves leveraging cutting-edge data science techniques to drive customer-centric product development and optimize business outcomes. Responsibilities include querying databases, predictive modeling, and working with large datasets to uncover actionable insights. The candidate will collaborate with stakeholders across risk, business, partnerships, digital, and strategy, contributing to the transformation of existing business lines and the creation of innovative digital models. The role emphasizes leadership in establishing and scaling up data science functions, with a focus on continuous improvement and a customer-centric approach. The ideal candidate should possess a strong educational background, 2-4 years of experience in banking or financial services, and expertise in statistics, analytics, machine learning, and artificial intelligence.

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Position: Data Scientist

Location: Gurugram, Haryana, India 

Employer: IndusInd Bank 

Type: On-site, Full-time

About the Digital Business Unit at IndusInd:

The Digital Business Unit at IndusInd Bank has a clear mandate aimed at:

• Building customer-centric products using human-centered design principles for retail individual and micro, small and medium enterprise (MSME) customer segments.
• Developing innovative products and propositions, utilizing a problem-solving mindset to uncover and address latent customer needs.
• Building Embedded Finance (Banking as a Service) applications.
• Ensuring designs are highly available, modular, scalable, and secure.
• Driving digital business initiatives.

Applications Managed by the Digital Business Unit:

The Digital Business Unit oversees various applications, including:

• IndusMobile (bank’s mobile app for retail individual clients).
• Indusnet (net banking application of the bank).
• IndusMerchantSolutions app.
• Whatsapp Banking.
• Chatbots.
• easycredit for Individuals.
• easycredit for Business Owners.
• Savings, current account, and fixed deposit online platforms.

The unit's objectives encompass:

• Driving better customer experience and engagement.
• Transforming existing lines of businesses.
• Building new digital-only or Banking as a Service-led digital business models.

About the Role:

As a member of the asset analytics and data science team, you will be engaged in tackling cutting-edge problems for the bank. Working closely with stakeholders across risk, business, partnerships, digital, and strategy, you will contribute to the creation and refinement of strategies to enhance profitability and growth. Key responsibilities include:

• Utilizing predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Querying databases and using statistical computer languages such as R, Python, SLQ, etc.
• Working with large and multiple datasets, data warehouses, and relevant coding programs.
• Implementing data-driven insights and presenting them to stakeholders.
• Collaborating with digital product, growth, and marketing teams.
• Assessing new data sources and gathering techniques for accuracy and effectiveness.
• Establishing and scaling up data science functions.
• Leveraging analytics to increase customer lifetime value for digitally acquired clients.
• Defining pricing models for digital value propositions across user/client segments.
• Creating automated dashboards and reports using PowerBI for product and marketing teams.

Job Responsibilities:

1. Technical Proficiency:

   • Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
   • Model development experience in Python.
   • Strong background in statistical analysis.

2. Data Manipulation:

   • Work with large and multiple datasets, data warehouses, and relevant coding programs.
   • Possess necessary data reprocessing and feature engineering skills.

3. Stakeholder Collaboration:

   • Coordinate with multiple stakeholders to identify opportunities for leveraging company data.
   • Implement models and monitor outcomes.

4. Continuous Improvement:

   • Constantly research and stay updated on ML algorithms and data sources for better predictions.
   • Assess the effectiveness and accuracy of new data sources and gathering techniques.
   • Develop processes and tools to monitor and analyze model performance and data accuracy.

5. Leadership and Strategy:

   • Strong strategic thought leadership and problem-solving skills.
   • Proven ability to discover solutions hidden in large datasets.
   • Drive business results with data-based insights.
   • Ability to establish and scale up data science functions.

6. Customer-Centric Approach:

   • Leverage analytics to increase customer lifetime value for digitally acquired clients.
   • Pitch the right product to the right client at the right time.

7. Business Integration:

   • Help define pricing models for digital value propositions across user/client segments.
   • Work with product, growth, and marketing teams across the product/campaign lifecycle.

8. Automation:

   • Empower product and marketing teams by creating automated dashboards and reports using PowerBI.

Education, Work Experience, Key Skill Set Requirements:

• BE / B-Tech/M.E./M.Tech/MBA/PGDBM from Tier 1/Tier 2 colleges.
• 2-4 years of Data Science experience in Banking/Financial Services.
• Strong and in-depth understanding of statistics.
• Excellent written and verbal communication.
• Ability to build and use relationships and influence broadly across the organization.
• Results-driven with strong project management skills, able to work on multiple priorities.
• Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics, and Hypothesis Testing.

Please click here to apply.

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