
Biu:data Science-data Science
1 week ago
**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**
- 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**:
- 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 evidence Experience 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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