Job Purpose: 

The Data Science Lead will be responsible for creating AI/ML/ Gen AI products/solutions, overseeing solution lifecycle management, and ensuring the success of Group Analytics and AI. This position is responsible for leading AI/ML/Gen AI solutions, including related application developments within the organization. The Data Science Lead will contribute to increase Group revenue, reduce costs, meet EBITDA targets through Analytics. The Data Science Lead is responsible for grooming and mentoring Data Scientists in the team. This function will drive strategic solutions and its roadmaps that meet internal and external customer needs, and lead cross-functional teams to ensure successful, high impact, AI/ML solution delivery.

The Job:

• Lead and drive end-to-end solutions, architectures, and roadmaps for AI solutions, bringing innovative and disruptive solutions to the organization.
• Accountable for the whole lifecycle of AI solutions (from planning, architecting, building, deploying, and maintaining).
• Contribute to increasing Group revenue, reducing costs, optimizing internal productivity and meeting EBITDA targets through AI and Analytics.
• Mentor and lead the team of Data Scientists towards the end-to-end, timely delivery of AI/ML models.
• Ensure quality and continuous development of the data science team.
• Responsible for resource onboarding and management.
• Use case scoping, validation, and feasibility testing.
• Design and develop statistical, machine learning and Gen AI based solutions using the right technology.
• Accountable for ensuring the data and technical quality of AI/ML/Gen AI solutions.
• Empower the Data Science team to build new knowledge by researching and conducting iterative experiments to solve complex problems.
• Ensure performance monitoring and mechanisms are in place.
• Collaborate with internal/external teams and ensure deployment of AI/ML models at scale.
• Ensure AI/ML models are properly maintained and smooth operation of solutions.
• Collaborate with AI application development teams and ensure AI applications are developed timely and efficiently.
• Collaborate with teams to integrate AI models with downstream systems on a scale.
• Research emerging technologies and industry best practices to support innovation.
• Maintain up-to-date knowledge of new tools, technologies, and methodologies in AI/ML.
• Embed ethical Al principles, transparency, and explainability in all AI Solution development and deployment practices.

The Person:

• Bachelor’s Degree in AI/Data Science/ Computer Science/Engineering/ Information Technology/ or a related field
• Master’s Degree in AI/Data Science/ Computer Science or a related field
• Strong understanding of machine learning algorithms and techniques
• Hands-on-experience in R/Python or equivalent tools.
• Hands-on-experience in Gen AI/ Agentic AI technology stack
• Hands-on-experience in R/Python or equivalent tools.
• Hands-on-experience in working with any major cloud provider (AWS, GCP, Azure)
• Data visualization and communication expertise.
• Experience in data engineering across data warehouses, big data, or cloud environments.
• Continuous learner with a passion for innovation.
• Experience in managing Data Science teams delivering AI Solutions at Scale.

• 8+ years of experience in the field of Data Science including Machine Learning, Gen AI and Agentic AI (Will be an added advantage)

• Agile and results-driven leadership skills.
• Strong business understanding.
• Sound technical knowledge.