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.
Location:
Mumbai
Job:
Analytics
Schedule:
Regular
Employee Status:
Full time
