Lead - Data Science & Artificial Intelligence

Lead - Data Science & AI

Why would you like to join us?

TransOrg Analytics specializes in Data Science, Data Engineering and Agentic AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit www.transorg.ai to know more about us.

• Location: Gurugram
• Experience: 6- 10 Years
• Employment Type: Full-Time (onsite)

Position Summary : Lead high-impact AI and Data Science consulting engagements, deliver innovative analytics solutions, build high-performing teams, and partner with clients to drive measurable business outcomes.

Key Responsibilities:

• Lead end-to-end AI and Data Science engagements from discovery to deployment.
• Design and deploy Machine Learning, Deep Learning, and Agentic AI solutions.
• Translate business challenges into AI-driven solutions and actionable insights.
• Build and deploy customized AI/ML solutions to address complex business challenges, improve operational efficiency, and drive measurable business outcomes.
• Develop and execute the AI & Analytics roadmap aligned with business strategy, identifying opportunities for innovation, automation, and data-driven decision-making.
• Build predictive models using structured and unstructured data.
• Manage multiple engagements ensuring quality, timelines and client satisfaction.
• Build, mentor, lead, and retain high-performing teams of Data Scientists, Data Engineers, AI Engineers, Data Analysts, and Solution Architects, fostering a culture of innovation, collaboration, continuous learning, and excellence.
• Drive hiring and capability development.
• Build reusable AI accelerators and Proofs of Concept(PoCs)
• Partner with sales leadership to identify, qualify, and close strategic opportunities.

What were looking for:

• Strong business/financial acumen.
• Ability to interact with cross-functional teams.
• Enthusiasm for contributing to wider activities to support team and company growth.
• Expertise in managing full project management life cycle.
• Strong written, verbal, and interpersonal skills needed to effectively communicate technical insights and recommendations with Clients and leadership team
• Ability to think both strategically and tactically and to drive execution. Should be equally comfortable with long term planning and day to day progress tracking and execution
• Analyze and interpret data and communicate insights to clients using mathematical, statistical, and analytical techniques.
• Work closely with internal teams and clients to understand requirements and translate them into data-driven solutions.
• Contribute to analytics solution design and support delivery across multiple client engagements.
• Passionate about applying AI/ML to solve diverse real-world problems.
• Proven experience in leading teams and managing internal and external stakeholders.

Qualifications & Experience:

• Bachelors degree in computer science, Information Technology, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or related discipline.
• Master's degree (MBA, M. Tech, MS, MCA, or equivalent) in Computer Science, Artificial Intelligence, Data Science, Analytics, Engineering, Business Administration, or a related field is strongly preferred.
• 6- 10 years of experience in Data Science, Artificial Intelligence, or Advanced Analytics, preferably in the BFSI (Banking, Financial Services & Insurance) and/or CPG (Consumer Packaged Goods) domains.
• Strong background in machine learning, statistics, probability, and algorithms
• Experience with Python, SQL, and machine learning techniques.
• Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)
• Experience with data visualization tools (Power BI or similar)
• Proven leadership experience managing data science or AI teams
  
  

This position offers you the opportunity to showcase your technical depth, consulting expertise, client-facing leadership, and business acumen while building high-performing teams, winning strategic opportunities, and delivering measurable business outcomes through data-driven innovation.