Lead Data Scientist

4 weeks ago


Bengaluru, Karnataka, India Piramal Capital & Housing Finance Limited 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, driving growth through Portfolio Retention Analytics and Business Analytics.

Key Responsibilities:

  • Lead and mentor a team of data scientists, fostering a collaborative and high-performing environment.
  • Define the team's vision and strategy, aligning with business objectives.
  • Oversee project planning, execution, and delivery, ensuring timely and accurate results.

Data Analysis & Modelling:

  • Guide the team in conducting in-depth data analysis and developing sophisticated models, ensuring accuracy and robustness.
  • Stay abreast of the latest advancements in data science and machine learning, applying knowledge to drive business impact.

Business Impact:

  • Translate complex data insights into actionable business recommendations, driving data-driven decision-making.
  • Partner with cross-functional teams to measure and communicate the impact of the team's work.

Stakeholder Management:

  • Build and maintain strong relationships with key stakeholders across the organization, effectively communicating project progress and findings.
  • Collaborate with senior management to shape the data science roadmap, ensuring alignment with business objectives.

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, with 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, with deep knowledge of predictive analytics techniques and exploratory data analysis.
  • Excellent communication and presentation skills, with the ability to build and maintain strong relationships with stakeholders.

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