Data Scientist (Python, PySpark & Machine Learning) | HDFC Bank | Mumbai

HDFC Bank; Mumbai; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

HDFC Bank is seeking a Data Scientist to own model development, big data pipelines, and GenAI/LLM integrations for banking applications in Mumbai. You will work on Python, SQL, and PySpark to build scalable ML/DL models addressing fraud, risk, and customer insights, with direct collaboration to risk, retail banking, and IT teams.

The role emphasizes on-site presence in Mumbai, on-going professional growth, and enterprise banking data science exposure within a leading global financial institution.

Qualifications

• Bachelor’s or Master’s in a technical field.
• 0–6 years of data science/analytics experience.
• Strong Python, SQL, and PySpark experience.
• Experience with ML/DL algorithms.

Responsibilities

• Design, develop, validate, and deploy ML/DL models for core banking.
• Process large-scale datasets with Python, SQL, and PySpark.
• Research GenAI and LLM solutions for banking use cases.
• Collaborate with risk, retail banking and IT teams.
• Present insights to senior management.

Skills

Python programming

SQL querying

PySpark

Machine learning

Deep learning

GenAI/LLM interest

Banking data governance

Education

Bachelor’s or Master’s in a technical field

Tools

MLflow

Kubeflow

Jira

Confluence

Job description

Position Summary:

Driving advanced data science initiatives, predictive analytics, and machine learning solutions in Mumbai, India, HDFC Bank is actively seeking talented Data Scientists for a permanent full-time professional engagement. In this vital financial technology and analytics role, you will take full operational, tactical, and technical ownership of predictive modeling, big data processing utilizing PySpark and SQL, machine learning and deep learning architecture, deep learning frameworks, and emerging Generative AI (GenAI) and Large Language Model (LLM) applications within the banking industry. Bringing 0 to 6 years of progressive professional hands‑on experience in data science, you will empower India’s leading financial institution to achieve uncompromised analytical precision, automated credit risk assessment, and superior data‑driven decision‑making. This prestigious career opportunity offers competitive remuneration, enterprise banking exposure, and professional growth within a leading global financial corporation.

Detailed Job Description:

As a Data Scientist supporting HDFC Bank on a professional on‑site basis in Mumbai, India, you will take full operational, tactical, and technical ownership of model development, big data pipelining, algorithmic experimentation, and cross‑functional banking collaboration. Your day‑to‑day responsibilities include designing, developing, and deploying robust machine learning and deep learning models to solve complex financial challenges, processing large‑scale banking datasets utilizing Python, SQL, and PySpark, building advanced deep learning frameworks for fraud detection, customer segmentation, and automated risk scoring, exploring and integrating cutting‑edge Generative AI (GenAI) and Large Language Model (LLM) use cases into core banking applications, collaborating proactively with risk management, retail banking, and IT infrastructure squads, communicating complex analytical insights to executive leadership, and adhering strictly to the mandatory requirement that all applications be submitted exclusively through the official Google Form portal provided by the recruitment team. Furthermore, you will manage application requirements by submitting your application through the official recruitment link at https://lnkd.in/d5Q5fA_5.

Key Responsibilities:

• Design, develop, validate, and deploy scalable machine learning and deep learning models for core banking applications.
• Process, clean, and analyze large-scale structured and unstructured banking datasets utilizing Python, SQL, and PySpark.
• Build and fine‑tune advanced deep learning frameworks and neural network architectures for predictive financial analytics.
• Research, prototype, and implement innovative Generative AI (GenAI) and Large Language Model (LLM) solutions.
• Conduct rigorous exploratory data analysis (EDA) to uncover actionable insights for risk mitigation and customer acquisition.
• Collaborate proactively with cross‑functional business units, risk analysts, and software engineering squads.
• Optimize model inference latency, computational resource utilization, and pipeline execution efficiency.
• Ensure strict adherence to banking data governance, privacy standards, and regulatory compliance frameworks.
• Maintain meticulous model documentation, feature stores, experiment tracking logs, and code repositories.
• Present analytical findings and strategic AI roadmap proposals to senior management and banking stakeholders.

Required Qualifications & Skills:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related technical discipline.
• Minimum of 0 to 6 years of progressive professional hands‑on experience in data science, machine learning, or advanced analytics.
• Strong, demonstrable operational proficiency in Python programming, SQL querying, and PySpark big data processing.
• Comprehensive working knowledge and practical hands‑on experience with Machine Learning and Deep Learning algorithms.
• Deep practical experience utilizing advanced deep learning frameworks and neural network libraries.
• Strong analytical, mathematical, and problem‑solving skills tailored to the banking and financial services sector.
• Demonstrated passion and intellectual curiosity regarding Generative AI (GenAI) and Large Language Models (LLMs).
• Mandatory legal work authorization and physical availability for professional on‑site operations in Mumbai, India.

Nice-to-Have Skills:

• Professional industry certifications such as AWS Certified Machine Learning Specialty or Google Cloud Professional Data Engineer.
• Prior professional working experience supporting Tier‑1 global banks, fintech enterprises, or financial services corporations.
• Hands‑on familiarity with MLOps pipelines, MLflow, Kubeflow, and cloud‑hosted model deployment platforms.
• Experience utilizing enterprise agile tracking and IT service desk platforms (Jira, Confluence, ServiceNow).
• Active participation in data science user groups, Kaggle competitions, or artificial intelligence research forums.

Application Information:

• Recruiter: HDFC Bank Recruitment Division
• Contact Name: Rajat Rautela (Data Scientist at HDFC Bank)
• Email:
• Phone:
• Company Website: https://www.hdfcbank.com
• Application URL: https://lnkd.in/d5Q5fA_5
• Salary/Rate: Market Competitive / Enterprise Banking Data Science Package
• Work Schedule: On‑Site Professional Operations (Mumbai, India)
• Deadline: Open until filled (Urgent Mumbai Data Scientist Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Employment

Recruitment Pro Tip:

When applying for this Data Scientist position with HDFC Bank in Mumbai, ensure your resume and application submission explicitly highlight your PySpark big data tenure, deep learning project portfolio, and interest in GenAI/LLM banking applications.