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.

Location:

Mumbai

Job:

Analytics

Schedule:

Regular

Employee Status:

Full time