Lead Data Scientist - Machine Learning

PhonePe is India's leading digital payments platform with over 500 million registered users and processing billions of transactions monthly. The company has revolutionized digital payments in India through its seamless UPI interface and comprehensive financial services ecosystem. PhonePe leverages advanced data science and machine learning to deliver personalized experiences, fraud detection, and business intelligence at massive scale.

The Lead Data Scientist will drive machine learning initiatives across fraud detection, personalization, recommendation systems, and credit risk modeling. This role involves building production-grade ML models, collaborating with engineering teams, and delivering data-driven insights that impact millions of users. The ideal candidate combines strong ML expertise with product thinking and the ability to translate complex models into business value.

• Design, develop, and deploy machine learning models for fraud detection, risk scoring, personalization, and recommendation systems at scale
• Lead end-to-end ML lifecycle including data exploration, feature engineering, model training, validation, and production deployment
• Collaborate with product managers, engineers, and business teams to identify ML opportunities and translate requirements into technical solutions
• Conduct A/B testing, model performance monitoring, and continuous optimization to improve model accuracy and business impact
• Mentor junior data scientists, establish best practices, and contribute to building PhonePe's data science capabilities
• Stay updated with latest ML research, evaluate new algorithms and tools, and drive innovation in data science methodologies

• 7-11 years of experience in data science roles with strong focus on machine learning, statistical modeling, and production ML systems
• Expertise in ML algorithms including classification, regression, clustering, deep learning, NLP, and time series forecasting
• Proficiency in Python, R, SQL, and ML frameworks like TensorFlow, PyTorch, scikit-learn, XGBoost
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) for large-scale data processing
• Strong understanding of MLOps, model deployment, monitoring, and production-grade ML system design
• Advanced degree (Master's/PhD) in Computer Science, Statistics, Mathematics, or related quantitative field preferred
• Excellent problem-solving, communication, and stakeholder management skills with ability to explain complex concepts simply

• Competitive package between ₹27L – ₹30L per annum
• Build ML solutions that impact 500+ million users and process billions of transactions in India's largest fintech platform
• Work with cutting-edge technology stack and massive datasets in a highly innovative and fast-paced environment
• Hybrid work model offering flexibility while collaborating with world-class data science and engineering teams
• Significant career growth opportunities in one of India's most valuable startups with strong data-driven culture

This opening is not listed on any public job portal. It is a verified internal opportunity exclusively accessible through the website careerjump.co.in and directly apply to this job role. They also have similar job openings posted daily on their website. You can also join their WhatsApp Community for daily updates on verified internal job openings.