Role : Data Scientist - Machine Learning & Applied Analytics

Location : Bengaluru

Experience : 5 - 8 Years

Role Type : Full-Time

Business Unit : Products & Platforms (PMG)

Role Overview :

We are looking for a Data Scientist - Product Analytics & Machine Learning to help build differentiated analytics and ML capabilities across our product and platform portfolio, including MOBIUS+ and Signate.

This is a hands-on product-focused role responsible for translating real-world customer and domain problems into scalable analytics and machine learning solutions. The role will work across the complete lifecycle - from data exploration and experimentation through model development, validation, productization and production monitoring.

Key Responsibilities :

Product Analytics & ML :

- Translate product and customer problems into well-defined analytics and ML use cases.

- Perform data exploration, feature engineering, statistical analysis and experimentation.

- Develop, train, validate and optimize machine learning and predictive models.

- Define appropriate model performance metrics, benchmarks and acceptance criteria.

- Convert prototypes and experiments into scalable, production-ready capabilities.

- Work with Product, Architecture and Engineering teams to integrate models and analytics into SaaS products and platforms.

Model Evaluation & Productization :

- Evaluate models and analytical solutions developed by internal teams, technology partners and specialist solution providers.

- Assess model assumptions, data requirements, accuracy, robustness, explainability and limitations.

- Benchmark alternative models/approaches and provide evidence-based recommendations.

- Establish practices for model versioning, validation, monitoring, drift detection and continuous improvement.

Technical Skills :

- Strong foundation in statistics, probability, machine learning and data analysis.

- Strong hands-on programming skills in Python and common data science libraries.

- Experience with Pandas, NumPy, scikit-learn and relevant ML frameworks.

- Experience developing predictive models using structured and time-series data.

- Understanding of MLOps, including model versioning, experiment tracking, monitoring and model lifecycle management.

- Experience with cloud environments, preferably AWS, is desirable.

- Exposure to GenAI/LLMs and their application within product analytics is an advantage.

Preferred Experience :

- 5 - 8 years of relevant experience in Data Science, Machine Learning, Applied Analytics or related roles.

- Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related quantitative discipline preferred.