Lead - Data Scientist

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.
• Strong 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.
• Strong 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