Job Description
Grade
M1 to M4
Reports to:
Lead/Principal Data Scientist
Is a Team leader?
No
Team Size:
-
Role
Data Scientist/Sr Data Scientist
Business:
Not Applicable
Department:
Analytics
Sub-Department:
Not Applicable
Location:
Mumbai
Role
As a Data Scientist specializing in to building Analytical Models for Banks/NBFCs/Insurance industry, your primary responsibility is to utilize machine learning algorithms or statistical models to optimize Business Processes across Customer Life Journey. You will be required to build the model pipeline, work on its deployment and provide the required support until its last leg of adoption. Your role involves collaborating with cross functional teams to develop predictive models that assess Credit Risk and/ or personalize Customer Experience. You will also be responsible for identifying relevant base for targeting (cross-sell/up-sell) and running these campaigns from time to time.
Key Responsibilities
1. Writing Optimized Code:
Develop and maintain efficient, scalable code for model pipelines
Implement best practices in coding to ensure performance and resource optimization
2. Version Control and Lifecycle Configuration:
Familiar with best practices to manage codebase changes with available resources
Maintain and update configuration files to manage the lifecycle of data science models
3. Extracting Usable Information from Data:
Translate business needs into data-driven solutions and actionable insights
Conduct thorough exploratory data analysis to uncover trends and patterns.
Create and maintain feature repositories to document and manage features used in models
4. Building Robust Models:
Develop models that are reliable and generalize well across different time periods and customer segments.
Continuously monitor and improve model performance to adapt to changing data and business conditions
5. Publishing Model Outcomes:
Communicate model results and insights effectively to stakeholders.
Facilitate the adoption of models by ensuring they meet business needs and are user-friendly.
Qualifications
Master/PGDM in Statistics/Economics OR
MCA/ IIT - Btech/Bachelors in Statistics + up to 2 years of relevant experience
Role Proficiencies
Must Have Skills :
Ms Excel & PowerPoint
SQL
Python
Supervised & Unsupervised machine learning algorithms
Strong Communication skills
Collaborative Mind-set
Pro-active Approach to problem solving & stakeholder engagement
Good to have Skills :
SAS
AWS S3/ Sagemaker
Version Control
M1 to M4
Reports to:
Lead/Principal Data Scientist
Is a Team leader?
No
Team Size:
-
Role
Data Scientist/Sr Data Scientist
Business:
Not Applicable
Department:
Analytics
Sub-Department:
Not Applicable
Location:
Mumbai
Role
As a Data Scientist specializing in to building Analytical Models for Banks/NBFCs/Insurance industry, your primary responsibility is to utilize machine learning algorithms or statistical models to optimize Business Processes across Customer Life Journey. You will be required to build the model pipeline, work on its deployment and provide the required support until its last leg of adoption. Your role involves collaborating with cross functional teams to develop predictive models that assess Credit Risk and/ or personalize Customer Experience. You will also be responsible for identifying relevant base for targeting (cross-sell/up-sell) and running these campaigns from time to time.
Key Responsibilities
1. Writing Optimized Code:
Develop and maintain efficient, scalable code for model pipelines
Implement best practices in coding to ensure performance and resource optimization
2. Version Control and Lifecycle Configuration:
Familiar with best practices to manage codebase changes with available resources
Maintain and update configuration files to manage the lifecycle of data science models
3. Extracting Usable Information from Data:
Translate business needs into data-driven solutions and actionable insights
Conduct thorough exploratory data analysis to uncover trends and patterns.
Create and maintain feature repositories to document and manage features used in models
4. Building Robust Models:
Develop models that are reliable and generalize well across different time periods and customer segments.
Continuously monitor and improve model performance to adapt to changing data and business conditions
5. Publishing Model Outcomes:
Communicate model results and insights effectively to stakeholders.
Facilitate the adoption of models by ensuring they meet business needs and are user-friendly.
Qualifications
Master/PGDM in Statistics/Economics OR
MCA/ IIT - Btech/Bachelors in Statistics + up to 2 years of relevant experience
Role Proficiencies
Must Have Skills :
Ms Excel & PowerPoint
SQL
Python
Supervised & Unsupervised machine learning algorithms
Strong Communication skills
Collaborative Mind-set
Pro-active Approach to problem solving & stakeholder engagement
Good to have Skills :
SAS
AWS S3/ Sagemaker
Version Control
💡 Quick Summary
Seeking a career-building opportunity? The Data Scientist-KMPL Support Services-Analytics position is now open for candidates interested in the Bank Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
