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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