Associate Director, Data Science
Pinnacle Lead Consulting Limited
Hong Kong, Hong Kong
10小时前

report to Group BI Head

Exp in Data Scientist, Machine learning and AI, enhance business process automation.

Roles and Responsibilities

Develop AI and machine learning solutions to optimise business performance across different areas of the organisation

Use data analytics to help in-country Marketing, Distribution and Operation teams to increase revenue, lower costs and improve operational efficiency

Identify actionable insights from analytics solutions, and communicate this to relevant stakeholders to improve decision making and drive business performance

Develop in depth understanding of the business and be able to advise the business on the right analytics approach by participating in business discussions and presentations as applicable

Explore alternative sources of information, such as social media, blogs, mobile, and other digital data to understand customer and distributor behavior and uncover business opportunities

Work closely with business units to govern the effective implementation of analytics solutions

Develop processes and tools to monitor model performance, as well as implement improvements as needed

Implement analytical models into production by collaborating with relevant stakeholders

Provide training to analytics resources in the countries on AI and machine learning methodologies, and sharing of best practices

Drive analytics innovation by keeping abreast of industry’s trends, evaluating and adapting new and improved data science approaches for the business

Quantitative metrics

Number of use cases designed and related conversion rates from Digital P&C customers to drive growth through online to offline (O2O) sales

Qualitative benefits

Enrich customer data including behavioral patterns to nurture leads (to be further defined and measured)

Implementation of new ways of working / agile, resulting in speed-to-market and ability to execute with nimble, empowered teams

Minimum Job Requirements

Bachelor’s Degree in a numerate discipline e.g. Data Science, Actuarial Science, Mathematics, Statistics, Engineering, or Computer Science with a strong computer programming component

At least 10 years working experience, with extensive hands-on experience in developing AI and Machine Learning solutions

Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. Python, R, SAS)

Exposure to all stages of data analytics project lifecycle (scope definition, data requirements, extraction, exploration, transformation, solution development, tracking)

Demonstrable understanding of data quality risks and ability to carry out necessary exploratory data analysis and quality checks to validate results obtained

Knowledge of a variety of machine learning techniques (clustering, decision tree, random forest, artificial neural networks, etc.)

Tenacious, with a desire to get to the bottom’ of things with sound logical reasoning and deep analytical ability

Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes

Sound knowledge of programming in SQL or other programming experience

Articulate, with excellent oral and written communication skills. Adaptable, able to interact and build strong relationships with people from a diverse range of backgrounds

Fast learner with a willing attitude. Intellectually rigorous, with strong analytical skills and a passion for data

Experience in big data environment and tools such as Hadoop, Hive, Datameer is desirable

Fluency in both spoken and written English. Any Asian language is preferred

Reporting Structure and Supervisory / Managerial Responsibilities

Lead a Senior Data Engineer and working in collaboration and partnership with Local Business Units (LBUs) CEOs, Chief Marketing Officers, Chief Customer Officers, local executive committee (ExCo) across all businesses and Group Office functions

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