Data Scientist Manager

Salary: up to 90k

Data Science Manager | Global Conglomerate | AI

Your new company
This prestigious Global Conglomerate is looking for an experienced Data Science Manager to join its dynamic business here in Hong Kong to lead a team of data scientists in developing and delivering AI solutions that create measurable business value here in Hong Kong.

Your new role

• Partner with business stakeholders to identify opportunities where Data Science, Machine Learning, and AI can drive commercial value.
• Lead the delivery of AI and Data Science initiatives from problem definition through deployment and business adoption.
• Translate business requirements into analytical approaches, technical solutions, delivery plans, and measurable success metrics.
• Provide technical leadership across machine learning, statistical modelling, Generative AI, and AI-driven solutions.
• Review solution designs, modelling approaches, code quality, and production readiness to ensure scalable and reliable delivery.
• Collaborate with Business, IT, Data Engineering, Product, and Project teams to manage dependencies and drive successful outcomes.
• Build trusted relationships with senior stakeholders, challenge assumptions constructively, and align priorities across teams.
• Communicate complex analytical findings and AI concepts clearly to both technical and non-technical audiences.
• Lead, coach, and develop a team of Data Scientists, supporting performance, career growth, and technical excellence.
• Drive innovation through the adoption of new AI technologies, best practices, and continuous improvement in solution delivery.
  
  What you'll need to succeed
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• At least 1 year of formal people management experience, including coaching, performance feedback, and team development.
• Strong hands-on experience in machine learning, statistical modelling, and Python development.
• Proven experience delivering Data Science or AI solutions into production.
• Strong technical judgement with the ability to evaluate modelling approaches, review solution designs, and challenge technical decisions.
• Practical understanding of Generative AI, including LLMs, retrieval-augmented generation (RAG), AI agents, and evaluation methods.
• Strong commercial acumen and the ability to connect AI opportunities with measurable business outcomes.
• Demonstrated ability to structure ambiguous business problems, develop analytical approaches, and translate findings into actionable recommendations.
• Experience leading project delivery, managing priorities, and coordinating cross-functional dependencies.
• Excellent communication, presentation, and stakeholder management skills, with the confidence to influence senior business stakeholders.
• Experience in Data Science, AI, or analytics consulting, particularly in business-facing advisory and technical delivery roles.
• Experience developing business cases and evaluating the commercial impact of analytical solutions.
• Experience developing or deploying agentic AI applications.
• Familiarity with cloud AI platforms, MLOps, LLMOps, and production AI systems.
• Experience managing multiple AI initiatives or collaborating with geographically distributed teams.
• Experience improving AI development efficiency through automation, reusable components, or GenAI.
• Strong communication skills in English and Cantonese.
  
  What you'll get in return
• Market Leading Compensation Package
• High exposure to cutting-edge AI projects
• Stable Working Culture
  
  What you need to do now
  For further details or a confidential discussion on other opportunities in Technology, please contact Kelvin Chung at Hays on 2101 0046 or email Kelvin.Chung@hays.com.hk
  If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
  If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.