Senior Data Scientist

Infosight Consulting Limited; Hong Kong Island; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

Infosight Consulting Limited is recruiting a senior data scientist to translate unstructured questions into quantitative analytics and deliver insights that influence major business decisions.

You will apply advanced analytics, ML and AI/LLM solutions on the AWS stack, collaborating with IT and business teams to drive a data-driven culture in a fast-paced Hong Kong environment.

Qualifications

• Master’s degree in Computer Science, Econometrics, Mathematics, Operations Research, Statistics or related discipline; strong Bachelor’s plus equivalent will be considered.
• At least 6 years of data science experience with measurable commercial or operational impact.
• Proficiency in Python and AWS is essential; strong Spark and SQL are required.
• Knowledge of visualisation tools such as Qlik, Power BI or Tableau is an advantage.
• Experience in productionalising analytics and ML solutions with engineering/IT partners.
• Strong analytical skills and ability to recommend algorithms for complex problems.
• Excellent communication to stakeholders; Cantonese and English are advantageous in HK.

Responsibilities

• Translate unstructured questions into quantitative problems and deliver analytics that influence major business decisions.
• Provide advanced analytics using ML, statistical modelling, optimisation and big data across commercial and operations domains.
• Advise on algorithms, data and platforms considering technology, latency, cost and constraints.
• Prototype, evaluate and optimise ML and analytics solutions; monitor live performance and act when value decays.
• Partner with IT to productionalise models on AWS, including handover, monitoring and lifecycle management.
• Collaborate with stakeholders to implement solutions and drive data-driven culture across Digital and the business.
• Explore LLMs and AI agents where they improve decision quality or speed without sacrificing robustness.

Job description

• Advanced Analytics, Machine Learning & Statistical Modelling


• Data Visualisation, Stakeholder Management & AI/LLM Solutions

Responsibilities

• Translate unstructured commercial, customer and operations questions into quantitative problems, and deliver analytics that influence major business decisions.


• Provide advanced analytics support using machine learning, statistical modelling, optimisation and big data across commercial, customer lifecycle, revenue and operations domains.


• Advise on appropriate algorithms, data and platforms given available technology, latency, cost and operational constraints.


• Prototype, evaluate and iteratively optimise machine learning and advanced analytics solutions; monitor live performance and initiate corrective action when value decays.


• Partner with IT and platform teams to productionalise models on the AWS stack, including handover, monitoring and lifecycle management.


• Collaborate with stakeholders to implement solutions, influence adoption of insights, and contribute to a data-driven culture across Digital and the business.


• Explore emerging capabilities, including LLMs and AI agents, where they improve decision quality or speed without sacrificing robustness.

Qualifications/Requirements

• Master’s degree in Computer Science, Econometrics, Mathematics, Operations Research, Statistics or a related discipline. A strong Bachelor’s plus equivalent delivered impact will be considered.


• At least 6 years of experience in data science, with a proven track record of using large-scale data to drive measurable commercial or operational outcomes.


• Proficiency in Python and AWS is essential; strong Spark and SQL are required. Knowledge of visualisation tools such as Qlik, Power BI or Tableau is an advantage.


• Experience in productionalising analytics and machine learning solutions with engineering or IT partners.


• Strong analytical skills, with the ability to recommend algorithms and methodologies for complex, constrained business problems.


• Excellent communication skills to articulate ideas to stakeholders at all levels; Cantonese and English are an advantage in the Hong Kong operating environment.


• Ability to work independently and as part of a team in a fast-paced environment, and to learn and adapt to new technologies and processes.