Senior Data Scientist

Job Description

We are looking for a Data Scientist with strong hands-on experience in Machine Learning, Python, PySpark, and SQL to develop analytical models within the wholesale banking domain. The candidate should possess a problem-solving mindset and be experienced in the end-to-end model development lifecycle.

Key Responsibilities:

• Develop, validate, and deploy machine learning models for banking-related use cases
• Perform EDA and feature engineering to derive actionable insights from data
• Work on large-scale datasets using PySpark and SQL
• Manage the complete model lifecycle, including model monitoring and performance tracking
• Collaborate with stakeholders to understand business problems and translate them into analytical solutions
• Clearly communicate model outputs and insights to both technical and business stakeholders

Soft Skills:

• Strong stakeholder management and communication skills
• Ability to present findings and insights effectively
• Expertise in Root Cause Analysis
• Ability to clearly explain model outcomes to non-technical audiences
• Experience working within an Agile framework
• Prior exposure to the Banking domain

Good to Have:

• Experience working on risk/fraud models in the banking domain
• Certification in Data Science / Machine Learning

Education:

Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience

Key Skills: