Job Purpose:-

• Identifying the Opportunities for Business growth

• Support business in meeting the Budgets through Analytical Insights

• Communicate results and ideas to key decision makers

Key Accountabilities:-

• Regular Portfolio Health Check-ups through Business Insights

• Identifying areas of growth and areas of sluggishness within portfolio

• Drive insight led actionables to help achieve portfolio targets

• Support Stakeholders in Business Reviews

• Support key business initiatives for data driven decisioning.

Job Duties & responsibilities:-

• Structure, define and execute data analysis to uncover insights and inform decision making for digital bank

• Collaborate with regional & local counterparts to define and align performance metrics

• Support ad-hoc data requests for management meetings

• Formulate requirements and work with data engineering and technology team to develop and validate automated data pipelines for business performance dashboards

• Engage with business and product teams on the problem formulation and create solution framework

• Design A/B test experiments to test the model effectiveness and Analyze to identify the target segments

• Drive the testing and deployment of the machine learning products into production

• Understand the Product Journeys and help business to improve the customer experience.

Required Experience:-

Non-technical Experience:

• Strong academic background

• Should be self -motivated and adaptable.

• Should possess a creative bent of mind and should be a strategic thinker.

• Should be focused and well organized.

Technical Experience:-

• 3-12 years of experience in Data Science/Analytics (consumer banking, ecommerce, retail, telecoms, technology) with demonstrated track of generating value through data driven solutions.

• Should have full understanding of applications of DS/ML/AI solutions to various business problems.

• Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL, Hive, Spark, etc.,

• Programming experience in Python, R, Spark, SAS, TensorFlow or other machine learning oriented programming languages/platforms.

• Good understanding of technology tools especially those related to analytics data & modelling.

• Ability to communicate complex analysis/models across a diverse team. • Good written and oral communication skills.

Education / Preferred Experience:-

• B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred.

• Prior Working experience of AI / ML / DS is must

Job Purpose:-

• Identifying the Opportunities for Business growth

• Support business in meeting the Budgets through Analytical Insights

• Communicate results and ideas to key decision makers

Key Accountabilities:-

• Regular Portfolio Health Check-ups through Business Insights

• Identifying areas of growth and areas of sluggishness within portfolio

• Drive insight led actionables to help achieve portfolio targets

• Support Stakeholders in Business Reviews

• Support key business initiatives for data driven decisioning.

Job Duties & responsibilities:-

• Structure, define and execute data analysis to uncover insights and inform decision making for digital bank

• Collaborate with regional & local counterparts to define and align performance metrics

• Support ad-hoc data requests for management meetings

• Formulate requirements and work with data engineering and technology team to develop and validate automated data pipelines for business performance dashboards

• Engage with business and product teams on the problem formulation and create solution framework

• Design A/B test experiments to test the model effectiveness and Analyze to identify the target segments

• Drive the testing and deployment of the machine learning products into production

• Understand the Product Journeys and help business to improve the customer experience.

Required Experience:-

Non-technical Experience:

• Strong academic background

• Should be self -motivated and adaptable.

• Should possess a creative bent of mind and should be a strategic thinker.

• Should be focused and well organized.

Technical Experience:-

• 3-12 years of experience in Data Science/Analytics (consumer banking, ecommerce, retail, telecoms, technology) with demonstrated track of generating value through data driven solutions.

• Should have full understanding of applications of DS/ML/AI solutions to various business problems.

• Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL, Hive, Spark, etc.,

• Programming experience in Python, R, Spark, SAS, TensorFlow or other machine learning oriented programming languages/platforms.

• Good understanding of technology tools especially those related to analytics data & modelling.

• Ability to communicate complex analysis/models across a diverse team. • Good written and oral communication skills.

Education / Preferred Experience:-

• B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred.

• Prior Working experience of AI / ML / DS is must.