Senior Data Scientist

Confidential Client; Bengaluru; On-site; INR 4,200,000 - 6,000,000; Full time

Job summary

Confidential Client in Bengaluru, India seeks a Senior Data Scientist with 8–12 years of experience to lead advanced analytics, ML, and AI-enabled business solutions. You will design enterprise-scale predictive models across credit risk, fraud detection, customer analytics, and pricing optimization, mentoring junior staff and partnering with executive leadership to translate insights into strategy.

The role emphasizes production deployment, CI/CD, governance, and regulatory considerations, with

Qualifications

• 8–12 years of hands-on ML and data science lifecycle.
• Proficient in Python, SQL, PySpark.
• Experience with Credit Risk Models, Fraud Detection Systems, Customer Analytics, and Pricing Models.
• Cloud platforms (AWS, Azure, or GCP) and Databricks.
• MLOps, model deployment, API integration, and CI/CD for ML.
• Strong leadership and stakeholder management.
• Deep Learning, NLP, Gen AI (LLMs, LangChain, Hugging Face) and Graph Analytics are a plus.

Responsibilities

• Lead end-to-end data science and ML projects from conception to production.
• Architect scalable ML solutions and analytics frameworks for enterprise deployment.
• Build and refine predictive and prescriptive models to solve business problems.
• Drive AI/ML strategy for large-scale business transformations.
• Collaborate with leadership to identify high-impact opportunities.
• Oversee model deployment, monitoring, governance, and optimization.
• Mentor junior data scientists and analysts.
• Partner with engineering for production deployment via CI/CD.
• Ensure model explainability, fairness, and regulatory compliance.
• Translate analytical outcomes into executive insights.

Skills

Leadership

Stakeholder management

Mentoring

Communication

Tools

Python

SQL

PySpark

AWS

Azure

GCP

Databricks

CI/CD

MLOps

Job description

Senior Data Scientist

We are seeking a seasoned Senior Data Scientist with 8–12 years of industry experience to lead advanced analytics, machine learning, and AI-driven business solutions. The ideal candidate will possess deep expertise in designing enterprise-scale predictive models and spearheading data science initiatives across critical domains including credit risk, fraud detection, customer analytics, and pricing optimization. This role is pivotal in driving data-driven transformation, mentoring junior talent, and partnering with executive leadership to translate complex analytical outcomes into strategic business insights.

Key Responsibilities

• Lead end-to-end data science and machine learning projects from conception to production.
• Architect scalable ML solutions and robust analytics frameworks for enterprise-level deployment.
• Build and refine advanced predictive and prescriptive models to solve complex business problems.
• Drive AI/ML strategy for large-scale business transformation initiatives.
• Collaborate with leadership and stakeholders to identify and prioritize high-impact business opportunities.
• Oversee model deployment, monitoring, governance, and continuous optimization activities.
• Mentor and guide junior data scientists and analysts to foster technical excellence.
• Partner with engineering teams to ensure seamless production deployment of ML models via CI/CD.
• Ensure best practices in model explainability, fairness, and regulatory compliance.
• Translate complex analytical outcomes into actionable executive-level insights.

Requirements

• Experience: 8-12 years of hands-on experience in Machine Learning, Statistical Modeling, and the Data Science Lifecycle.
• Technical Core: Expert proficiency in Python, SQL, and PySpark.
• Domain Expertise: Proven track record in Credit Risk Models, Fraud Detection Systems, Customer Analytics, and Pricing Models.
• Cloud & Big Data: Extensive experience with Cloud Platforms (AWS, Azure, or GCP) and Big Data ecosystems like Databricks.
• Operational Excellence: Strong knowledge of MLOps, Model Deployment, API Integration, and CI/CD for ML.
• Leadership: Exceptional stakeholder management skills and experience handling large-scale enterprise datasets.
• Preferred: Expertise in Deep Learning, NLP, Generative AI (LLMs, LangChain, Hugging Face), and Graph Analytics.

Work Arrangements

• Employment Type: Full-Time
• Location: Bengaluru, Karnataka, India (On-site/Office-based as per company policy)
• Schedule: Standard business hours