AI & ML Data Analytics Specialist

Ambition; Hong Kong; On-site; HKD 900,000 - 1,400,000; Full time

Job summary

Ambition in Hong Kong seeks an experienced data analytics leader to analyze large volumes of structured and unstructured data, identify trends, and develop data-driven solutions that address real business challenges. You will design, build, and deploy advanced analytics, machine learning, and AI models to support strategic decisions and improve performance.

Collaborating with business stakeholders, technology teams, and data specialists, you will translate complex requirements into scalable

Qualifications

• 6+ years of analytics, predictive modelling or AI in large enterprises.
• Strong Python, SQL, and cloud data platforms.
• Experience with ML, AI, LLMs, and model optimization.
• Excellent communication and stakeholder management.

Responsibilities

• Analyze large volumes of structured and unstructured data to identify trends and insights.
• Design and deploy analytics, ML and AI models to support decisions.
• Translate business requirements into scalable analytical frameworks.
• Partner with stakeholders, tech teams and data specialists to implement AI initiatives.
• Monitor model performance and refine methodologies.
• Promote data-driven practices and ensure governance compliance.

Skills

Python

SQL

Cloud platforms

Data visualization

Tableau

Power BI

Machine learning

Generative AI

RAG techniques

Communication

Stakeholder management

Education

Bachelor's degree or above in Statistics, Mathematics, Computer Science, Information Systems, Data Science, or related discipline

Tools

Tableau

Power BI

Jupyter Notebooks

Cloud platforms

Job description

Ambition in Hong Kong seeks an experienced data analytics leader to analyze large volumes of structured and unstructured data, identify trends, and develop data-driven solutions that address real business challenges. You will design, build, and deploy advanced analytics, machine learning, and AI models to support strategic decisions and improve performance.

Collaborating with business stakeholders, technology teams, and data specialists, you will translate complex requirements into scalable