Assistant Data Science Manager - Finance (Max 45K p/month)
Salary Negotiable
Location Hong Kong
FULL_TIMEConsultant Iris Tso
JobRef 1189330/001
Date posted 29 December 2022
hong-kong tech-transformation/data-science-big-data 2022-12-29 2023-02-27 it Hong Kong HK Robert Walters https://www.robertwalters.com.hk https://www.robertwalters.com.hk/content/dam/robert-walters/global/images/logos/web-logos/square-logo.png trueThis role will collaborate with different business units to leverage the data in the organisation and create high quality Data Science solutions which will have significant impacts to the company
Responsibilities:
• Collaborate closely with different business units and communicate with them & other stakeholders
about data concepts and projects with clarity
• Develop advanced Data Science solutions by leveraging machine learning & deep learning
techniques
• Take charge of end-to-end AI project development
• Drive improved business decision by leveraging different Data Science applications, e.g.
predictive up/cross-sell modeling, predictive underwriting, customer and agent insights, document
recognition, etc.
• Develop & maintain various performance dashboards
• Leverage and interact on regular basis with Group and Regional Data Science community to get
the best practices on boarded the organisation in Hong Kong
Qualification:
• Master’s degree in Computer Science, Statistics, Actuarial, Mathematics, Physics, or similar
subject
• Strong communication skill, willing to collaborate with different parties
• Deep understanding of Machine Learning concepts and algorithms (e.g. predictive modeling,
clustering, Computer Vision, NLP, etc)
• Strong programming skills: Python (must), SQL (must), R
• 3+ years’ experience as data scientist/engineer or 5+ years’ experience as data analyst
• Experience in leading Data Science projects and building machine learning models
• Experience in insurance or financial services industry is a plus
• Familiar with the visualisation tools, e.g. Power BI, Tableau
• Experience in any cloud platform is a plus, e.g. Azure
• Well-organised, problem solver & fast learner
• Good team player
• Good command of business English, both in written and spoken form
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