Practice Director - Data Science

12 - 18 years

40 - 60 Lacs

Posted:18 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Practice Head Data Science & AI

Key Responsibilities:

  • Leadership & Strategy:

  • Define and drive the strategic vision for the Data Science and AI practice.
  • Build, lead, and mentor a high-performing team of data scientists, ML engineers, and AI experts.
  • Collaborate with cross-functional teams to integrate data-driven solutions into broader business strategies.

  • Technical Expertise:

  • Lead the design and delivery of advanced AI/ML solutions across various domains.
  • Stay abreast of industry trends, emerging technologies, and best practices in AI, ML, and data science.
  • Provide technical guidance and hands-on support as needed for key initiatives.

  • Practice Development:

  • Establish frameworks, methodologies, and best practices to scale the data science practice.
  • Define and implement reusable components, accelerators, and IPs for efficient solution delivery.

  • Client Engagement & Pre-Sales:

  • Support business development by working closely with sales teams in identifying opportunities, creating proposals, and delivering presentations.
  • Engage in solution selling by understanding client needs and proposing tailored AI/ML-based solutions.
  • Build strong relationships with clients and act as a trusted advisor on their data journey.

Required Skills & Experience:

  • 12+ years of overall experience with at least 5+ years in leading data science/AI teams.
  • Proven experience in setting up or leading a data science or AI practice.
  • Strong hands-on technical background in AI, ML, NLP, predictive analytics, and data engineering.
  • Experience with tools and platforms like Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, etc.
  • Strong understanding of data strategy, governance, and architecture.
  • Demonstrated success in solutioning and pre-sales engagements.
  • Excellent communication, leadership, and stakeholder management skills.

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