Data & AI Delivery Lead (Life Science)

4 days ago

Gurgaon, Haryana, India Spectrum Talent Management Full time ₹ 12,00,000 - ₹ 36,00,000 per year

As a Data & AI Delivery Director for Life Sciences. you will play a pivotal role in driving and shaping client engagements within the BFSI sector. Leading a team of 40+ banking analytics, data science, and data engineering professionals, you will leverage your deep experience in data science and your understanding of data engineering to deliver impactful solutions for our banking clients.

This role will require you to drive thought leadership, implement new analytics-enabled solutions, and oversee the day-to-day delivery of projects for banking clients

Experience:

  • 12-16 years of deep experience in Analytics & Data Science, in consulting organizations for LS Clients

Understanding of Data Engineering solutioning is preferred, but not a must for this role

Key Requirements

Client Delivery & Engagement

  • Utilize strong problem-solving skills and deep domain expertise in the Life Science vertical to conceptualize and deliver solutions across various areas.
  • Manage client relationships, create proposals, and oversee project management activities.
  • Demonstrate strong delivery management capabilities, handling multiple client engagements simultaneously.
  • Entrepreneurial and Collaborative approach - Ability to work with cross functional stakeholders across Business, Data, Analytics, etc and influence to drive desired outcomes.

Problem Solving & Solutioning:

  • Experience in building data enabled solutions leveraging a combination of reporting, statistical modelling, machine learning, data engineering etc.
  • Strong experience in new opportunity identification, developing solution frameworks and proposals.
  • Experience using analytical concepts and statistical techniques for creating end-to-end solutions: hypothesis development, designing tests/experiments, analyzing data.
  • Experience of using statistical techniques: logistic regression, log-linear regression, variable selection, & ML techniques GBM, Random Forest, Random forest etc. for development of cutting-edge solutions that drive impact for the client teams
  • Prior hands on experience of using python, pyspark, big data technologies is preferred.

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