Associate, Specialist Data Scientist, Transformation and Data

Job Purpose
• Develop statistical learning models by using AI / ML Techniques 
• 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 & requirements
• 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

Job Duties & responsibilities 
Involve in building Machine Learning models, data science solutions and 
working with state-of-art data science and Machine Learning Tools such as 
Spark, Sklearn, Tensorflow, and will have mastery in any number of 
Analytic Programming languages/platforms like Python, R. etc. 
• Work with large datasets, distributed Big Data Platforms for a variety of 
advanced analytics solutions across the bank ranging from recommendation 
engines, propensity models, customer segmentation, Graph models, Credit 
underwriting model, pricing and more 
• Engage with business and product teams on the problem formulation and 
create solution framework 
• End-to-End execution from data collection, analysis, feature engineering, model 
development, implementation (including testing) and monitoring  
• 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 
• Excellent pattern recognition and predictive modelling skills 
• Understand the Product Journeys and help business to improve the 
customer experience

Rxequired 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 DS/ML/AI 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
Prior Working experience of AI / ML / DS is must
B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics,Operation Research, or equivalent quantitative fields preferred.  

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