Senior Data Scientist
Location:
Bangalore
Work Mode:
Hybrid
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:
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Develop, validate, and deploy machine learning models for banking-related
use cases
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Perform EDA and feature engineering to derive actionable insights from data
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Work on large-scale datasets using PySpark and SQL
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Manage the complete model lifecycle, including model monitoring and
performance tracking
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Collaborate with stakeholders to understand business problems and translate
them into analytical solutions
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Clearly communicate model outputs and insights to both technical and
business stakeholders
Soft Skills:
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Strong stakeholder management and communication skills
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Ability to present findings and insights effectively
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Expertise in Root Cause Analysis
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Ability to clearly explain model outcomes to non-technical audiences
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Experience working within an Agile framework
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Prior exposure to the Banking domain
Good to Have:
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Experience working on risk/fraud models in the banking domain
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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:
Programming Languages:
Python (Pandas, NumPy), PySpark, SQL
Data Science Skills:
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Exploratory Data Analysis (EDA)
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Feature Engineering
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Machine Learning (algorithms, performance metrics, model evaluation)
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Model monitoring and maintenance