Associate, Specialist Data Scientist, Transformation and Data

DBS Bank

Mumbai

On-site

INR 1,200,000 - 2,400,000

Full time

14 days+

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Job summary

DBS Bank in Mumbai is seeking a data science professional to develop statistical learning models using AI/ML techniques and to generate analytical insights that support business growth and budget attainment.

You will engage with stakeholders to frame problems, build scalable ML solutions on big data platforms, and drive end-to-end execution from data collection to deployment and monitoring.

Qualifications

  • Strong academic background in analytics.
  • Experience with ML/AI applications to business problems.
  • Proficiency with SQL, Spark, Python, and R.
  • Ability to communicate complex analyses.

Responsibilities

  • 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
  • End-to-End execution from data collection, analysis, feature engineering, model development, implementation and monitoring
  • Design A/B test experiments to evaluate model performance
  • Deploy machine learning products into production

Skills

Statistical learning
AI / ML techniques
Communication of results
Portfolio health insights

Education

B.Sc./M.Sc. in Statistics/Analytics/Applied Mathematics
Operations Research related degree

Tools

Spark
Python
R
TensorFlow
SAS
Hive

Job description

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

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
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

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

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