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Lead Data Scientist

1 month ago


Bengaluru, Karnataka, India Piramal Enterprises Full time
About the Role

We are seeking a seasoned Lead Data Scientist to spearhead our Business Intelligence Unit (BIU) in Bangalore. As a key member of our leadership team, you will oversee a team of data scientists focused on driving growth through Portfolio Retention Analytics and Business Analytics.

Key Responsibilities
  • Leadership & Mentorship: Lead, inspire, and mentor a team of data scientists, fostering a collaborative and high-performing team environment.
  • Strategic Planning & Execution: Define the team's vision and strategy in alignment with business objectives, setting clear goals, priorities, and performance expectations.
  • Data Analysis & Modelling: Guide the team in conducting in-depth data analysis and developing sophisticated models, ensuring accuracy, validity, and robustness of analytical solutions.
  • Business Impact: Translate complex data insights into actionable business recommendations, partnering with cross-functional teams to drive data-driven decision-making.
  • Stakeholder Management: Build and maintain strong relationships with key stakeholders across the organization, effectively communicating project progress, findings, and recommendations.
Requirements
  • Master's degree in Economics, Statistics, Computer Sciences, Mathematics, Operational Research, CA, or Engineering from a reputed college.
  • 5+ years of experience in analytics, preferably financial services, retail business, and at least 1 year in a team lead or managerial position.
  • Proven track record of leading and mentoring data scientists.
  • Strong proficiency in Python, model development, validation, machine learning, NLP, and marketing analytics.
  • Hands-on experience with analytics tools like R, SQL, Power BI, and MS Excel.
  • Deep knowledge of predictive analytics techniques (machine learning algorithms, logistic & linear regression, decision trees, clustering).
  • Expertise in exploratory data analysis (data preparation, exploration, and visualization).
  • Excellent communication and presentation skills.