Sr. Data Scientist –Card Payments

TeamPlus Staffing Solution Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

TeamPlus Staffing Solution Pvt Ltd in Bengaluru is seeking a Sr. Data Scientist with strong expertise in Card Payments and Retail Banking, ML, and end-to-end analytics project delivery. You will drive analytics-driven strategies and deliver actionable business insights for banking and payments clients.

The candidate will lead end-to-end data science projects, develop scalable ML solutions, and present insights through data storytelling to stakeholders.

Qualifications

• Domain experience in credit cards, card payments, or retail banking.
• Machine learning: regression, decision trees, random forest, and predictive modeling.
• Programming: hands-on Python and SQL.
• Big Data / Analytics: PySpark, Hadoop, Hive or similar.
• End-to-End DS: data prep, feature engineering, model development, validation, deployment.
• Business Analytics: develop analytical strategies delivering measurable business outcomes.
• Communication: strong presentation and stakeholder management.

Responsibilities

• Lead and deliver end-to-end data science and analytics projects.
• Develop and implement machine learning models for banking and payment analytics.
• Drive credit card portfolio strategies using customer, transaction, and third-party data.
• Perform data cleaning, wrangling, feature engineering, feature selection, and predictive modelling.
• Define project scope, analytical methodologies, and solution frameworks.
• Translate complex analytical findings into actionable business recommendations.
• Collaborate with business stakeholders and clients to identify analytics opportunities.
• Explore new data sources, advanced modelling techniques, and innovative analytical solutions.
• Present insights through effective data storytelling and business presentations.

Skills

Domain Experience

Machine Learning

Programming

Big Data

End-to-End DS

Business Analytics

Communication

Tools

PySpark

Hadoop

Hive

Tableau

MS Excel

PowerPoint

Job description

Experience: 8+ Years

Industry: Fintech / Card Payments / Retail Banking

We are seeking an experienced Sr. Data Scientist with strong expertise in Card Payments / Retail Banking, Machine Learning, and end-to-end analytics project delivery.

The candidate will drive analytics-driven strategies, develop scalable machine learning solutions, and deliver actionable business insights for banking and payments clients.

Key Responsibilities

• Lead and deliver end-to-end data science and analytics projects.
• Develop and implement machine learning models for banking and payment analytics.
• Drive credit card portfolio strategies using customer, transaction, and third-party data.
• Perform data cleaning, wrangling, feature engineering, feature selection, and predictive modelling.
• Define project scope, analytical methodologies, and solution frameworks.
• Translate complex analytical findings into actionable business recommendations.
• Collaborate with business stakeholders and clients to identify analytics opportunities.
• Explore new data sources, advanced modelling techniques, and innovative analytical solutions.
• Present insights through effective data storytelling and business presentations.

Mandatory Skills

1. Domain Experience: Hands-on experience in Credit Cards, Card Payments, or Retail Banking.
2. Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest and predictive modelling.
3. Programming: Strong hands-on experience in Python and SQL.
4. Big Data / Analytics: Experience with PySpark, Hadoop, Hive, or similar technologies.
5. End-to-End Data Science: Data preparation, feature engineering, model development, validation, deployment and scaling.
6. Business Analytics: Experience developing analytical strategies and delivering measurable business outcomes.
7. Communication: Strong presentation, stakeholder management and data storytelling skills.

Preferred Skills

• Credit card portfolio analytics and customer behaviour analysis.
• Payment transaction analytics and financial services data.
• Tableau, MS Excel and PowerPoint.
• Experience handling multiple client-facing analytics projects.