About the role
Paytm · Onsite
Role - Lead Data Scientist
About Us:
Paytm is India's leading digital payments and financial services company, revolutionizing how millions transact and access financial services. We're at the forefront of the digital revolution, empowering businesses and individuals with innovative technologies. Join us in our mission to bring half a billion Indians into the mainstream economy through technology.
About the Role: Lead Data Scientist- Driving Data-Driven Innovation
We are looking for an experienced and innovative Data Scientist Lead to drive advanced analytics, machine learning, and AI initiatives across the organization. The ideal candidate should have strong expertise in statistical modelling, predictive analytics, feature engineering, experimentation, and scalable ML solutions. You will work closely with Data Engineering, Product, Business, and Engineering teams to build intelligent systems that power personalization, customer insights, forecasting, recommendation engines, and data-driven decision-making.
What You'll Do:
Design, develop, and deploy machine learning and statistical models for business and customer-centric use cases
Analyze large-scale structured and unstructured datasets to derive actionable insights Build predictive models for: Customer behavior Churn prediction Recommendation systems Segmentation Forecasting Anomaly detection Collaborate with Data Engineering teams to build scalable data and feature pipelines
Develop and optimize feature engineering frameworks for ML workflows
Work with Customer 360 datasets to create advanced customer intelligence models
Design and evaluate A/B testing and experimentation frameworks
Build reusable ML components and model monitoring solutions
Translate business problems into analytical and machine learning solutions
Communicate insights and recommendations to technical and business stakeholders
Mentor junior data scientists and promote ML best practices
Requirements:
Strong expertise in Machine Learning, Statistical Modeling, Predictive Analytics, Deep Learning, and Feature Engineering with hands-on experience in NLP, Time-Series Forecasting, Recommendation Systems, and Customer Analytics.
Proficient in Python, SQL, Apache Spark, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, Pandas, and NumPy.
Good understanding of model evaluation, experimentation, hypothesis testing, and data preprocessing.
Exposure to Big Data technologies including Kafka, Flink, ETL/ELT frameworks, Data Lakes/Lakehouse architectures, and scalable ML workflows in collaboration with Data Engineering teams.
Why Join Paytm?
Be part of India's leading digital payments and financial services company.
Work on cutting-edge technologies and solve complex data challenges.
Collaborate with a team of talented and passionate individuals.
Make a significant impact on the lives of millions of users.
Enjoy a dynamic and fast-paced work environment.
Opportunity for professional growth and development.
Contribute to the growth of India's digital economy.
Compensation:
If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!
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