Senior Data Scientist

Comviva Technology · Gurgaon

  • Experience3–6 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted1 Oct 2026
Apply for this job

About Comviva Technology

Comviva Technology is hiring in Gurgaon in technology software. This role looks for around 3+ years of experience.

Skills

  • SQL
  • PySpark SQL
  • PySpark
  • Python
  • Logistic Regression
  • Random Forest
  • XGBoost
  • Markov Chain
  • credit risk modeling
  • fraud modeling
  • churn modeling
  • PD modeling
  • EAD modeling
  • LGD modeling
  • CSI
  • PSI
  • model monitoring
  • feature engineering
  • telecom data analysis

The role

A data scientist at a fintech company develops credit risk models and churn models using PySpark and Python on Spark, with model monitoring and telecom transaction data analysis. Expertise in Logistic Regression and XGBoost supports lending-cycle decisions and portfolio outcomes.

Full job description

Key Accountabilities

End-to-end risk model lifecycle management develop, deploy, monitor.

Data extraction using SQL / PySpark SQL; data cleaning and feature engineering.

Model building using PySpark / Python on Spark

Proficiency in Logistic Regression, Random Forest, XGBoost, Markov Chain

Strategy performance tracking and swap-in / swap-out analysis

Develop innovative credit risk / churn / usage models using mobile wallet transaction data, Call data, Telecom usage data, customer bureau data etc.

Partner with the Data Engineering team to define the required data pipelines to build and enhance the feature bank (foundational capability) to build/deploy the various ML algorithms both for batch and real time use cases -

Collaborate with credit policy/portfolio mgmt. team to drive P&L outcomes.

Building reports for model monitoring and drive enhancements

Mandatory Skills

Expertise in Big Data/ML: Build cutting-edge credit, churn, and usage models using advanced Machine Learning algorithms in a Big Data environment.

Should have hands on experience and track record of delivering projects in individual capacity.

Should be Process oriented: Should help in building a process that maximizes operating efficiency while maintaining risk across multiple lending cycles.

There needs to be an obsession with collecting and analysing data to drive business iterations and improvements

Willingness to go above and beyond: For start-ups the responsibilities and needs of the business change quickly. We're looking for someone who is not afraid to take on calculated risks and can deal with ambiguity.

Hands-on experience in credit, fraud, and churn model development & deployment

PD / EAD / LGD model development and validation

CSI / PSI model monitoring process experience

Track record of delivering projects independently

Hands on experience in data extraction using SQL/Pyspark SQL; data cleaning, feature creation and building models using Py Spark/Python on Spark

Strong entrepreneurial drive; ability to handle ambiguity and take calculated risks

Desirable Skills

Business understanding of the fintech / consumer finance space

Experience in credit card or personal lending, especially in fintech

Hands-on experience working with Telecom data