Verified Job
Work from home
Data Scientist
Work from home
#811533
Remote / WFH
Home Credit
Job Description
What you’ll do
Job Description
Job Title
Data Scientist
Objective (Purpose of the Job)
This role will contribute to data science capability and drive ideation of use cases, build PoCs and PoVs, develop functional and technical designs for taking PoCs to production working with business teams across DS and data teams at HQ, HCIN and all the internal data teams to ensure decisioning opportunities are backed with proven analytical models.
Key Responsibilities
This is a very hands-on role and requires to code build and deploy models, deploy model monitoring mechanisms.
Extensive cross-organization collaboration plays a crucial role in interfacing with various business, IT, Risk and internal DS functions and helping them with identifying opportunities to leverage data assets to build decision support models and tools.
Provide oversight to the team managing portfolio risk across MOB s and vintages for the aligned products, focusing on growing and maintaining healthy portfolios of customers through various interventions such as vintage analysis, healthy cross-selling between products, analysis on loss of revenue etc.
Work with Telesales, Digital, Marketing CRM teams on identifying new use cases, PoCs for for up/cross sell, for different marketing and digital campaigns
Build advanced analytical models at scale spanning different areas targeting and segmentation models, MMM, RFM, attribution models, next best offer, next best action, voice call (and meta data) analysis, propensity to convert, customer life-time value (CLTV), etc.
Responsible for the regular validation as well as new development of the portfolio score segmentation models through collaboration with regional and global risk analytics team
Appropriately assess risk when business decisions are made, demonstrating consideration for the firms reputation and safeguarding HCIN, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Brainstorm with teams and arrive at innovative ideas to leverage data and build PoCs, PoVs, gain buy-in from business functions and PoCs and PoVs to production
Drive the translation of business use cases to analytics agenda, including data, approach and validation strategy
Drive full and thorough documentation of existing and future analytical models, deployment plans, monitoring mechanisms
Participate in building POCs with business and data science team, develop functional and technical designs for taking POCs to production, working with teams across DS and data teams at HQ, HCIN and all the internal teams.
Co-ordinating with various internal functions mainly Op-risk, compliance, legal, audit etc.
Actively participate in data governance and policy formulation.
Industry type
NBFC
Department
Data Science & Analytics
Role
Full Stack Data Scientist
Role category
Data Science & Machine Learning
Employment type
Full Time, Permanent
Education
Any Graduate, Any Postgraduate
Job Description
Job Title
Data Scientist
Objective (Purpose of the Job)
This role will contribute to data science capability and drive ideation of use cases, build PoCs and PoVs, develop functional and technical designs for taking PoCs to production working with business teams across DS and data teams at HQ, HCIN and all the internal data teams to ensure decisioning opportunities are backed with proven analytical models.
Key Responsibilities
This is a very hands-on role and requires to code build and deploy models, deploy model monitoring mechanisms.
Extensive cross-organization collaboration plays a crucial role in interfacing with various business, IT, Risk and internal DS functions and helping them with identifying opportunities to leverage data assets to build decision support models and tools.
Provide oversight to the team managing portfolio risk across MOB s and vintages for the aligned products, focusing on growing and maintaining healthy portfolios of customers through various interventions such as vintage analysis, healthy cross-selling between products, analysis on loss of revenue etc.
Work with Telesales, Digital, Marketing CRM teams on identifying new use cases, PoCs for for up/cross sell, for different marketing and digital campaigns
Build advanced analytical models at scale spanning different areas targeting and segmentation models, MMM, RFM, attribution models, next best offer, next best action, voice call (and meta data) analysis, propensity to convert, customer life-time value (CLTV), etc.
Responsible for the regular validation as well as new development of the portfolio score segmentation models through collaboration with regional and global risk analytics team
Appropriately assess risk when business decisions are made, demonstrating consideration for the firms reputation and safeguarding HCIN, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Brainstorm with teams and arrive at innovative ideas to leverage data and build PoCs, PoVs, gain buy-in from business functions and PoCs and PoVs to production
Drive the translation of business use cases to analytics agenda, including data, approach and validation strategy
Drive full and thorough documentation of existing and future analytical models, deployment plans, monitoring mechanisms
Participate in building POCs with business and data science team, develop functional and technical designs for taking POCs to production, working with teams across DS and data teams at HQ, HCIN and all the internal teams.
Co-ordinating with various internal functions mainly Op-risk, compliance, legal, audit etc.
Actively participate in data governance and policy formulation.
Industry type
NBFC
Department
Data Science & Analytics
Role
Full Stack Data Scientist
Role category
Data Science & Machine Learning
Employment type
Full Time, Permanent
Education
Any Graduate, Any Postgraduate
