Analyst, Data Scientist

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 and Responsibilities:

• Structure, define and execute data analysis to uncover insights and inform decision making for digital bank
• Engage with business and product teams on the problem formulation and create solution framework
• 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
• 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:

• Should have full understanding of at least one Banking Product
• Strong academic background
• Should be self - motivated, adaptable, focused & well organized
• Should possess a creative bent of mind and should be a strategic thinker

Technical Experience:

• 3-7 years of experience in Data Science/Analytics (Consumer Banking, Ecommerce, Retail, Telecoms) 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, PySpark, etc.
• Programming experience in Python, R, PySpark, 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 Analytics is must