We are seeking an accomplished and visionary Senior Data Science & AI Team Lead to join our dynamic organisation. This role will be instrumental in defining, building, and maintaining a high-performing team of Data Scientists and Data Engineers. You will not only lead the technical execution of our Data and AI initiatives but also own the strategy for delivering impactful, scalable solutions across diverse industry sectors.

This position demands a blend of deep technical expertise, strong people leadership, and a strategic, results-driven mindset. You will be responsible for translating complex business needs from various clients into actionable data strategies and scalable data and AI products which maximizes value for our customers.

The successful candidate will be expected to deliver excellence across three core pillars:

Strategic Leadership & Team Building

Recruitment and Development: Actively participate in the hiring, mentoring, and professional development of our Data Scientists and Data Engineers, fostering a culture of technical excellence and continuous improvement.

Vision & Strategy: Help define the long-term technical roadmap and architecture for our Data Science, AI, and Data Engineering capabilities, ensuring alignment with overall business goals to enable delivery of value to our customers.

Cross-Functional Collaboration: Partner with our product, engineering, and business stakeholders across various projects to help drive the successful definition and deployment of data and AI solutions.

Competency & Certification Drive: Lead the drive for professional certification for yourself and the team across relevant data, AI, and cloud platforms (e.g., AWS, GCP, Azure, Kubernetes, etc.) to ensure the team maintains cutting-edge, validated technical competence.

Technical Direction & Architecture

Solution Architecture: Lead the design and implementation of robust, scalable, and production-ready data pipelines, machine learning models, and end-to-end AI applications.

Technology Stack: Guide the selection and standardization of core data and AI technology stack, with a focus on cloud platforms (AWS, GCP, or Azure), containerization (Kubernetes/Docker), and modern database technologies.

Quality & Standards: Establish best practices for MLOps, code quality, testing, security, and governance to ensure reliable and compliant data products.

Driving Innovation & Impact

Customer-Centric Solutioning: Translate complex business requirements and customer challenges into simple, impactful data and AI solutions. Ensure solutions clearly address the customer's needs and wants, promoting ease of understanding and adoption.

Strategic Reusability: Architect these solutions with a focus on modularity and generalization, enabling the successful frameworks to be rapidly deployed and tailored for new clients across diverse sectors (e.g., financial services, marketing, logistics, retail, etc.).

Advanced Modeling: Oversee the research, prototyping, and deployment of complex data science models, including advanced Machine Learning, Deep Learning, and specialized AI agents.

Performance and Sustainability Assurance: Design and architect all data infrastructure and deployed models to ensure optimal performance, high efficiency, and robust cost-effectiveness prior to handover. Establish clear metrics and documentation for the client's sustained success.

What We're Looking For (Essential Skills)

Proven Leadership: Extensive experience (5+ years) leading and managing technical teams, including direct mentorship and career development responsibilities.

Deep Technical Acumen: Expert-level proficiency in Python and core data science libraries, coupled with significant experience in architecting solutions on major Cloud platforms (AWS, GCP, Azure, or OCI).

Scalable Infrastructure: Hands-on experience with technologies critical for scalability, such as Kubernetes, distributed computing frameworks e.g., Spark, etc. and modern data warehousing/vector databases.

End-to-End Delivery: A track record of successfully taking machine learning models and data products from research/proof-of-concept through to live, production deployment.

Stakeholder Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.

We are a powerhouse of technical expertise, driven by continuous learning and pushing the boundaries of what is possible with data and AI.

We thrive on tackling ambiguity and delivering high-value solutions across various client ecosystems.

Expect a fast-paced, results-oriented culture where seniority means ownership and every team member is expected to contribute to our collective knowledge base, including driving personal and team growth. If you are passionate about building the best team in the industry, this is your platform.