Job Description

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