Associate Director, Data Science

Pinnacle Lead Consulting Limited; Hong Kong; On-site; HKD 1,000,000 - 1,800,000; Full time

Job summary

Pinnacle Lead Consulting Limited is seeking an Associate Director, Data Science to lead AI/ML initiatives across multiple business units. You will design and deliver analytics solutions, collaborate with marketing, distribution, and operations, and drive data-driven decisions at scale.

You will mentor teams, oversee data lifecycle activities, and stay ahead of industry trends to apply advanced data science approaches that create measurable business impact.

Qualifications

• Bachelor's Degree in a numerate discipline with a strong programming component.
• 10+ years working experience in developing AI/ML solutions.
• Hands-on experience with at least one advanced data analysis platform (Python, R, SAS).
• Exposure to all stages of the data analytics project lifecycle.
• Knowledge of ML techniques (clustering, trees, neural nets, etc.).
• Strong problem solving, analytical, and business-facing communication skills.
• Proficient SQL or similar programming experience.
• Fluent in English; knowledge of an Asian language is a plus.

Responsibilities

• Develop AI and machine learning solutions to optimise business performance across the organisation.
• Use data analytics to support Marketing, Distribution and Operations to increase revenue and reduce costs.
• Identify actionable insights and communicate to stakeholders to improve decision making.
• Advise business on analytics approaches in discussions and presentations.
• Explore diverse data sources to understand customer and distributor behavior.
• Govern effective implementation of analytics across business units.
• Monitor model performance and implement improvements.
• Collaborate to productionize analytical models and drive adoption.
• Provide training on AI/ML methodologies to analytics teams.

Skills

Data Science

Machine Learning

Python

SQL

Big Data

Analytics

Education

Bachelor's degree in Data Science/Math/Engineering or related

Advanced degree (MS/PhD) preferred

Tools

Hadoop

Hive

Datameer

SAS

Job description

About the job Associate Director, Data Science

report to Group BI Head Exp in Data Scientist, Machine learning and AI, enhance business process automation.

Roles and Responsibilities

• Develop AI and machine learningsolutions to optimise business performance across different areas of theorganisation
• Use data analytics to helpin-country Marketing, Distribution and Operation teams to increase revenue,lower costs and improve operational efficiency
• Identify actionable insights fromanalytics solutions, and communicate this to relevant stakeholders to improvedecision making and drive business performance
• Develop in depth understanding ofthe business and be able to advise the business on the right analytics approachby participating in business discussions and presentations as applicable
• Explore alternative sources ofinformation, such as social media, blogs, mobile, and other digital data tounderstand customer and distributor behavior and uncover business opportunities
• Work closely with business unitsto govern the effective implementation of analytics solutions
• Develop processes and tools tomonitor model performance, as well as implement improvements as needed
• Implement analytical models intoproduction by collaborating with relevant stakeholders
• Provide training to analyticsresources in the countries on AI and machine learning methodologies, andsharing of best practices
• Drive analytics innovation bykeeping abreast of industry's trends, evaluating and adapting new and improveddata science approaches for the business

Quantitative metrics

• Number of use cases designed andrelated conversion rates from Digital P&C customers to drive growth throughonline to offline (O2O) sales

Qualitative benefits

• Enrich customer data includingbehavioral patterns to nurture leads (to be further defined and measured)
• Implementation of new ways ofworking/agile, resulting in speed-to-market and ability to execute with nimble,empowered teams

Minimum Job Requirements

• Bachelor's Degree in a numeratediscipline e.g. Data Science, Actuarial Science, Mathematics, Statistics,Engineering, or Computer Science with a strong computer programming component
• At least 10 years workingexperience, with extensive hands-on experience in developing AI and MachineLearning solutions
• Proven hands-on experience in theuse of at least one advanced data analysis platform (e.g. Python, R, SAS)
• Exposure to all stages of dataanalytics project lifecycle (scope definition, data requirements, extraction,exploration, transformation, solution development, tracking)
• Demonstrable understanding ofdata quality risks and ability to carry out necessary exploratory data analysisand quality checks to validate results obtained
• Knowledge of a variety of machinelearning techniques (clustering, decision tree, random forest, artificialneural networks, etc.)
• Tenacious, with a desire to 'getto the bottom' of things with sound logical reasoning and deep analyticalability
• Excellent relationshipmanagement, strong team building, and the ability to work across business unitsand functions to drive positive business outcomes
• Sound knowledge of programming inSQL or other programming experience
• Articulate, with excellent oraland written communication skills. Adaptable, able to interact and build strongrelationships with people from a diverse range of backgrounds
• Fast learner with a willingattitude. Intellectually rigorous, with strong analytical skills and a passionfor data
• Experience in big dataenvironment and tools such as Hadoop, Hive, Datameer is desirable
• Fluency in both spoken andwritten English. Any Asian language is preferred

Reporting Structure and Supervisory / Managerial Responsibilities

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