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 the 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 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 the 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:

• 2-4 years of Data Science experience preferably in Banking/ Financial Services
• Model development experience in Python
• Strong and in-depth understanding of statistics
• Strong strategic thought leadership and problem-solving skills with the 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