Opening For Associate - Data Scietist

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 actionable 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 Analyse 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.