Data Scientist (2-3 yrs)

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 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

- 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

- 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 :

- 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 :

- 2-3 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