Job Location: Chennai
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:-
- 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 f rom 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 f rom 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.
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 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:-
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
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