Data Scientist
About the role
Join the AI & Data Department to lead high-value data science initiatives across Great Eagle Holdings Limited. The Group is developing an AI & Data Platform (ADP) to provide governed, reusable data and technology capabilities. You will connect business needs with the ADP, turning trusted data into analytics and AI solutions from discovery and prototyping through deployment, adoption and value realisation.
Key responsibilities
Lead end-to-end data science projects with business users, from opportunity definition and prioritisation through delivery, adoption and value tracking
Gather requirements, understand business workflows and data needs, identify appropriate data sources, and define clear success measures
Access, prepare and analyse governed structured and unstructured data, assess data quality and suitability, and generate actionable insights
Design, prototype, develop, evaluate and deploy fit-for-purpose solutions, including analytics, dashboards, forecasting, optimisation, machine learning and Generative AI
Translate analytical outputs into clear dashboards, data products, predictive solutions and decision-support tools that address business needs
Collaborate with Data Engineers, application / deployment engineers, Data & AI Governance, Cyber Security, Privacy and other IT teams to productionise secure, reliable and responsibly governed solutions
Provide practical ad-hoc support for data and AI requests, communicate findings in business language, and promote adoption and measurable value
About you
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems or a related discipline
5+ years of relevant experience in data science, advanced analytics, machine learning or AI solution delivery
Strong hands-on SQL and Python skills
Practical R experience is an advantage
Proven experience in data preparation, exploratory analysis, feature engineering, statistical or machine-learning modelling, evaluation and interpretation across structured and unstructured data
Experience with Power BI, Tableau or comparable BI tools, plus scikit-learn, TensorFlow, PyTorch or comparable machine-learning frameworks
Understanding of enterprise delivery considerations such as data governance, privacy, security, responsible AI, MLOps and model monitoring
Exposure to modern cloud data / AI platforms is advantageous
Strong stakeholder engagement and communication skills
Professional proficiency in English and Cantonese
We are an equal opportunity employer and welcome applications from all qualified candidates.
Personal data collected will be treated as strictly confidential and used only for recruitment-related purposes. Applicants who have not heard from us within four weeks may consider their applications unsuccessful. All personal data will be destroyed after 24 months.