What you'll do:

• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business 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

What makes you a great fit :

• Candidate should be from Tier1/Tier2 institute
• 5+ years of relevant experience in Data Science in Banking/ NBFC/ Fintecth
• Model development experience in Python
• Strong and in-depth understanding of statistics
• Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems
• 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