Lead PL Design Thinking

Pune - India

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Purpose	leverage advanced analytics machine learning and data science to uncover hidden customer opportunities and validate viability of new product propositions within B2C financial services. build data-driven experimentation and feedback loops that enable evidence-based design thinking and rapid innovation. lead end-to-end development of analytics use cases - from exploratory analysis and POCs to production-grade ML pipelines powering customer journeys.
Duties and Responsibilities	A-Minimum required Accountabilities for this role data (bureau transactional behavioral funnel data) to identify opportunity areas for new product propositions. feasibility analysis to validate viability and scalability of proposed features/products. customer journey analytics frameworks (drop-off analysis cohort tracking behavioral segmentation). and execute rapid POCs and ML prototypes to test hypotheses. end-to-end data pipelines and deploy production-grade ML models. experimentation frameworks to support product A/B testing and performance measurement. dashboards and insight reports to guide product decision-making. strong governance model documentation and validation processes. A-Additional Accountabilities pertaining to the role ML use cases across credit risk personalization pricing cross-sell and journey optimization. alternate data sources and bureau insights into product innovation. LLM and agentic AI capabilities into customer journeys (where applicable). and guide data analysts within the unit.
Key Decisions / Dimensions	go/no-go decisions based on POC analytics outcomes. modeling approaches and experimentation frameworks. analytics use cases aligned to product roadmap. data architecture requirements in collaboration with Technology.
Major Challenges	A-Minimum required Accountabilities for this role data (bureau transactional behavioral funnel data) to identify opportunity areas for new product propositions. feasibility analysis to validate viability and scalability of proposed features/products. customer journey analytics frameworks (drop-off analysis cohort tracking behavioral segmentation). and execute rapid POCs and ML prototypes to test hypotheses. end-to-end data pipelines and deploy production-grade ML models. experimentation frameworks to support product A/B testing and performance measurement. dashboards and insight reports to guide product decision-making. strong governance model documentation and validation processes. A-Additional Accountabilities pertaining to the role ML use cases across credit risk personalization pricing cross-sell and journey optimization. alternate data sources and bureau insights into product innovation. LLM and agentic AI capabilities into customer journeys (where applicable). and guide data analysts within the unit. rapid experimentation with enterprise-grade scalability and compliance. ambiguous business problems into structured data science use cases. data quality lineage and governance across multiple systems. analytics innovation with credit risk and regulatory constraints. ML models in production with minimal latency and high reliability.
Required Qualifications and Experience	a)Qualifications Post Graduates with relevant experience of 5-7 years in Data Analytics / / MBA (Analytics / Data Science / Statistics / Computer Science preferred). b)Work Experience 5-7 years of hands-on experience in Data Science / Advanced Analytics Strong proficiency in Python Spark PySpark and SQL. Experience building end-to-end ML pipelines and deploying production-grade models. Expertise in customer journey analytics segmentation and experimentation frameworks. Exposure to credit bureau data lending analytics or financial services preferred. Familiarity with LLMs Generative AI and agentic AI frameworks is an advantage. Strong problem structuring stakeholder management and business translation skills.

Job Purpose leverage advanced analytics machine learning and data science to uncover hidden customer opportunities and validate viability of new product propositions within B2C financial services. build data-driven experimentation and feedback loops that enable evidence-based design thinking and rap...

Job Purpose	leverage advanced analytics machine learning and data science to uncover hidden customer opportunities and validate viability of new product propositions within B2C financial services. build data-driven experimentation and feedback loops that enable evidence-based design thinking and rapid innovation. lead end-to-end development of analytics use cases - from exploratory analysis and POCs to production-grade ML pipelines powering customer journeys.
Duties and Responsibilities	A-Minimum required Accountabilities for this role data (bureau transactional behavioral funnel data) to identify opportunity areas for new product propositions. feasibility analysis to validate viability and scalability of proposed features/products. customer journey analytics frameworks (drop-off analysis cohort tracking behavioral segmentation). and execute rapid POCs and ML prototypes to test hypotheses. end-to-end data pipelines and deploy production-grade ML models. experimentation frameworks to support product A/B testing and performance measurement. dashboards and insight reports to guide product decision-making. strong governance model documentation and validation processes. A-Additional Accountabilities pertaining to the role ML use cases across credit risk personalization pricing cross-sell and journey optimization. alternate data sources and bureau insights into product innovation. LLM and agentic AI capabilities into customer journeys (where applicable). and guide data analysts within the unit.
Key Decisions / Dimensions	go/no-go decisions based on POC analytics outcomes. modeling approaches and experimentation frameworks. analytics use cases aligned to product roadmap. data architecture requirements in collaboration with Technology.
Major Challenges	A-Minimum required Accountabilities for this role data (bureau transactional behavioral funnel data) to identify opportunity areas for new product propositions. feasibility analysis to validate viability and scalability of proposed features/products. customer journey analytics frameworks (drop-off analysis cohort tracking behavioral segmentation). and execute rapid POCs and ML prototypes to test hypotheses. end-to-end data pipelines and deploy production-grade ML models. experimentation frameworks to support product A/B testing and performance measurement. dashboards and insight reports to guide product decision-making. strong governance model documentation and validation processes. A-Additional Accountabilities pertaining to the role ML use cases across credit risk personalization pricing cross-sell and journey optimization. alternate data sources and bureau insights into product innovation. LLM and agentic AI capabilities into customer journeys (where applicable). and guide data analysts within the unit. rapid experimentation with enterprise-grade scalability and compliance. ambiguous business problems into structured data science use cases. data quality lineage and governance across multiple systems. analytics innovation with credit risk and regulatory constraints. ML models in production with minimal latency and high reliability.
Required Qualifications and Experience	a)Qualifications Post Graduates with relevant experience of 5-7 years in Data Analytics / / MBA (Analytics / Data Science / Statistics / Computer Science preferred). b)Work Experience 5-7 years of hands-on experience in Data Science / Advanced Analytics Strong proficiency in Python Spark PySpark and SQL. Experience building end-to-end ML pipelines and deploying production-grade models. Expertise in customer journey analytics segmentation and experimentation frameworks. Exposure to credit bureau data lending analytics or financial services preferred. Familiarity with LLMs Generative AI and agentic AI frameworks is an advantage. Strong problem structuring stakeholder management and business translation skills.

Key Skills

Administrative Skills
Facilities Management
Biotechnology
Creative Production
Design And Estimation
Architecture

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About Company

Bajaj Finance Limited

Bajaj Finserv is India’s most diversified non-banking finance company. Visit the website to learn about our products. Get instant approval on loans, shop on EMIs, make an investment, get insurance and pay your bills.

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