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.

- Valuable 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

📌 Associate, Specialist Data Scientist, Transformation and Data (India)
🏢 DBS Bank
📍 India