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Analytics is one of top focus areas for the bank and this position represents opportunity to be part of high growth teams driving innovation.
Co-own business goals and lead problem solving with business partners and risk committee
Lead a team of data scientists to deliver projects on time
Adopt new modeling techniques and procedures
Own tasks in a self-directed environment through to completion
Analytics is one of top focus areas for the bank and this position represents opportunity to be part of high growth teams driving innovation. This role involves understanding of model building and reviewing.
Co-own the business goals & lead problem solving
Work with a team of data scientists and help deliver on projects in a time bound fashion.
Innovate by adapting new modeling techniques and procedures
Work in a self-directed environment, own tasks and drive them to completion
� The candidate is required to have: � Fluency in Python, SQL/SAS � hands on relevant experience � Experience in building models, with some years in building credit-Risk models
� Ability to manipulate and analyse complex, high- volume, high- dimension data from varying sources � Technical competence in tools such as Python and/or SAS a plus
� Prior experience in BFSI domain a plus � Should have good knowledge of advanced ML techniques (Logistic, XGboost, RF, ANNs, Ensembles) and understand the end to end deployment aspects � Knowledge of dockers/containers, micro services is a plus
Axis Bank�s (Business Intelligence Unit): This is a high profile team with a mandate to drive data based decisions within the bank.
In the employer’s words · Read in context
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
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Day 4
Early. Similar jobs usually come down between day 8 and day 60.
From 11,783 similar postings that came down. Coming down is not always a hire.
47 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
BIU: JD for Data Science
Grade:
Business:
BIU
Department:�
BIU
Sub-Department:
BIU
Location:
Mumbai/Bangalore
About BIU
Axis Bank�s (Business Intelligence Unit): This is a high profile team with a mandate to drive data based decisions within the bank. Reporting in to Head Banking Operations and Transformation, this department works with all businesses of the bank including retail, small business and corporate to drive analytics. In terms of functions, the department has teams focused on all aspects of analytics for the bank including risk analytics, financial analytics, crime analytics, business and marketing analytics, building predictive scores, data engineering, business reporting and data governance roles.
About the Role
Analytics is one of top focus areas for the bank and this position represents opportunity to be part of high growth teams driving innovation. This role involves understanding of model building and reviewing.
Key Responsibilities
The candidate will be responsible for the following in his/her job role:
� Co-own the business goals & lead problem solving, work in an agile manner with business partners, Risk-review committee members , data engineering and IT
� Work with a team of data scientists and help deliver on projects in a time bound fashion.
� Innovate by adapting new modeling techniques and procedures
� Work in a self-directed environment, own tasks and drive them to completion
Role Proficiencies:
� The candidate is required to have:
� Fluency in Python, SQL/SAS � hands on relevant experience
� Experience in building models, with some years in building credit-Risk models
� Prior experience in BFSI domain a plus
� Should have good knowledge of advanced ML techniques (Logistic, XGboost, RF, ANNs, Ensembles) and understand the end to end deployment aspects
� Knowledge of dockers/containers, micro services is a plus
� Solid spoken and written communication skills
� Should have strong analytical thinking and be able to convince stakeholders on using data-based evidenceExperience in modelling for BFSI domain preferred
� Having good exposure of various deployment platforms like FICO BLAZE, BDL, ORACLE etc..
� Strong track record in solving analytical problems using quantitative and statistical approaches
� Ability to manipulate and analyse complex, high- volume, high- dimension data from varying sources
� Technical competence in tools such as Python and/or SAS a plus
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Mumbai
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