Data Science and Analytics
Manage the data and analytics team
Ownership of data science related decisions
Usage of machine learning tools
Focus on building intelligence
Managing data engineering for MCSL
Code heavy type of profile
Tracking of data and progress
Ownership of data from multiple entities
Decide the frequency of tracking
Evaluate the tools and tech to be used
Manage budget proposals
Decide on the various platforms to be used
Manage IT Infrastructure cost like cloud space and support required
Building a central data warehouse
Automation of systems from manual sources
Overviewing Bots with human intervention
Complete automation of reporting systems
Manage the data analytics platform
Identify patterns and provide interventions on data

Team management.

Strategic leadership.

Preferred candidate profile

Master in Statistics / MBA (preferably with Engineering background)
8+ years of experience in data analytics, data science, business intelligence,



or a related field, with at least 5 years in a leadership role.
Solid expertise in SQL, Python, R, and experience working with cloud-based data platforms (AWS, GCP, Azure).
Proven experience in big data technologies, machine learning models, and AI applications.
Hands-on experience with BI tools (Tableau, Looker Studio, Power BI) and data visualization techniques.
Solid understanding of statistical modelling, predictive analytics, and data mining techniques.
Experience leading high-impact, cross-functional projects, with a proven track record of driving business results using data.
Excellent leadership, communication, and stakeholder management skills, with the ability to influence decision-making at the executive level.
Background in financial services, technology, or a related industry is a plus

📌 Lead Data Analytics Bengaluru
🏢 Muthoot Capital
📍 Bengaluru