Practice Lead - Data Science

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.

We are seeking a highly experienced and dynamic

Practice Lead – Data Science

to lead our data practice in Hyderabad. This role is ideal for a technology leader with a strong foundation in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), along with proven experience in building and scaling data practices. The ideal candidate will also have a strong business acumen with experience in solution selling and pre-sales.

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.