Vice President - Lead Data Scientist Ai Lab

About Us

What you will do

• Support the newly established AI Lab in the following areas:
• Work across our business and investment teams, including supporting functions, to evaluate and implement new AI / ML use cases
• Bring deep and generalist data science / AI / ML expertise to solve real world business problems using appropriate data-led methods in a scalable way
• Provide support to investment and corporate platforms by bringing advanced analytics approaches to the investment life cycle and other supporting functions
• Assist in idea generation and validation of new AI initiatives across the MIC business and corporate functions and to support the formalization of a prioritized delivery roadmap
• Adhere to a strong discipline of model documentation and library development to enable scalability and transferability of advanced analytics projects to other business use cases
• Manage and mentor other MIC staff, and take primary responsibility for timely delivery of complex projects supported by both internal staff and contractors
• What will you bring:
• To succeed within this role, you will bring a strong mix of practical experience, technical skills, and business skills, including the following:
• A technical degree in computer science, statistics, mathematics, financial engineering, or related field, advanced postgraduate degree (MSc or PhD) is advantageous
• 10+ years of experience applying data science and AI / ML methods to deliver commercial impact, preferably within the areas of finance, investments or asset management
• Expertise in statistical and classical ML techniques (including, for example, tree-based methods, regression, deep learning, forecasting techniques, optimization methods, Bayesian methods, model evaluation metrics)
• Expertise in the latest techniques in generative AI, (including, for example, agentic workflows, RAG systems, LLM fine tuning, vector databases, optimization and deployment)
• Advanced coding skills, principally in Python and SQL, with more diverse coding experience (e.g. Java, C++, JavaScript, others) considered an advantage, as well as experience with coding assistants
• Understanding of production grade engineering in AI, including familiarity with common cloud platforms (AWS, Azure), collaboration tools, and principals underpinning the design of complex, modular, scalable AI / ML services
• You will be a team player with high standards of business ethics and a drive to deliver, innovate and improve, whilst building strong partnerships within and outside Mubadala
• You will be an excellent communicator able to build relationships, communicate and influence both within the AI Enablement Unit, and the wider organization
• You will be able to orchestrate, manage and deliver projects by managing and overseeing multiple technical contributors, with an eye on deadlines and a practical results-driven mindset
• Most importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.
• What we offer:
• A superior platform to grow your career including:
• Making a difference with a social and financial impact
• Great working environment with talented colleagues
• Market leading pay and benefits including performance pay
• Hybrid working and wellness benefits to help you live your best work and private life
• Opportunity to grow and develop through learning and experience
• Excellent work culture enabled by our values of Accountability, Inspiration, Integrity & Partnership.
• Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership.
• You will operate in a diverse, energetic, and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.

Flexible Working