Senior Data Scientist

About the job

Senior Data Scientist – Credit & Risk Analytics At FinacPlus, we are more than a service provider — we are a Virtual Business Process Partner to leading global financial institutions and fintech companies. Our teams integrate seamlessly with client organizations, delivering high-impact analytics, finance, risk, and technology capabilities from India. FinacPlus is a Great Place to Work® Certified organization, recognized for our collaborative culture, strong leadership values, employee-first philosophy, and commitment to professional growth. If you are looking for global exposure, ownership-driven work, and meaningful career acceleration — this is where you belong. We are currently hiring a Senior Data Scientist (3–5 years experience) to support a UK-based fintech client in strengthening and scaling their credit risk and automated decisioning ecosystem. This role offers true end-to-end ownership — from model development and validation to production deployment and governance — with direct business impact. As a Senior Data Scientist, you will: - Design and enhance advanced credit models that drive responsible lending, portfolio growth, and customer outcomes. - Take ownership of designing, developing, and continuously refining credit risk scorecards, loss forecasting models, and collections and behavioural models that materially influence portfolio strategy, risk appetite, and sustainable growth. - Leverage internal and external datasets to generate insights that enhance underwriting precision and customer outcomes. - Architect and deliver robust, production-ready solutions in Python, ensuring code quality, scalability, reproducibility, and alignment with engineering standards. - Collaborate with Engineering teams to drive seamless model deployment, automation, and integration into real-time decisioning environments. - Lead model monitoring, validation, governance, and performance oversight frameworks. Qualifications and Experience: - 3–5 years of hands-on experience in Data Science / Risk Analytics. - Strong proficiency in Python and SQL. - Advanced understanding of regression & classification techniques, model validation, and performance metrics. - Experience deploying models into production environments. - Exposure to version control systems (Git) and cloud platforms (AWS preferred). - Experience in credit risk / lending / financial services analytics strongly preferred.

Requirements

• Data Science
• Risk Analytics
• Python
• SQL
• Regression Techniques
• Model Validation

Qualifications

• 3-5 years of experience in Data Science
• Strong proficiency in Python
• Solid command of SQL

Preferred Technologies

• Data Science
• Risk Analytics
• Python
• SQL
• Regression Techniques
• Model Validation

About the company

At FinacPlus, we are more than a service provider — we are a Virtual Business Process Partner to leading global financial institutions and fintech companies. Our teams integrate seamlessly with client organizations, delivering high-impact analytics, finance, risk, and technology capabilities from India.