Lead AI and machine learning solutions for insurance analytics. Oversee model performance, drive data strategy, and collaborate regionally to enhance business growth through advanced analytics.
We are seeking a driven and forward-thinking Data Scientist to join the AI Centre of Excellence at Manulife Asia, based in Singapore. In this role, you will lead the development of AI and machine learning solutions at both the Regional and Business Unit levels to support insurance‑related modelling and advanced analytics initiatives. You will leverage data and advanced analytics techniques grounded in a strong understanding of the insurance business, build machine learning and Generative AI solutions across multiple domains of the insurance value chain, and transform analytical insights into actionable business strategies with measurable impact that can be embedded into operational workflows. You will also apply deep data science expertise to design and implement robust AI solution evaluation and monitoring frameworks.
Position Responsibilities:
- Deliver machine learning and AI solutions across the insurance value chain, enabling scalable and impactful analytics capabilities.
- Oversee campaign effectiveness and model performance across multiple markets, ensuring continuous improvement and sharing of best practices regionally.
- Track and report AI project benefits, identifying opportunities to optimize outcomes and drive new business initiatives.
- Support analytics data strategy, including data optimization and monetization using internal data, identifying external data sources to enrich the enterprise data ecosystem, and contributing to data governance efforts.
- Lead the development of advanced predictive and prescriptive models and other analytical solutions for Asia markets to support profitable business growth.
- Collaborate with global and regional teams to establish standardized modeling frameworks, governance processes, and shared modeling solutions; ensure compliance with AI Center of Excellence standards.
- Maintain a regional/global model repository to document, monitor, and conduct dynamic diagnostics on models in production.
- Provide expert guidance to in-country analytics teams on advanced quantitative analysis and modeling techniques, ensuring strong technical execution aligned with business context.
- Drive data strategy initiatives, enhancing data readiness and value creation across markets.
- Enable effective customer and prospect engagement using data-driven insights and advanced analytics across all channels—including Agency, Bancassurance, and Digital—to increase new sales, repeat sales, and customer lifetime value.
- Guide in-country AI teams to apply advanced analytics for targeting, segmentation, cross-sell/up-sell opportunities, and marketing program optimization.
- Support channel expansion (Banca and Digital) and enhance sales efficiency through analytics-driven targeting and personalized offerings.
- Identify market, product, and channel-specific challenges, proposing innovative, analytics-backed solutions that balance speed-to-market with analytical rigor.
- Partner with regional and business unit leaders to prioritize and optimize analytics-driven decisions in a customer-centric, needs-based context.
- Coach and support in-country AI teams in designing, developing, and analyzing campaigns, ensuring adherence to modeling best practices.
- Establish regional/business-unit-level analytics tracking and reporting, and maintain regional best practices for campaign management.
- Diagnose root causes of underperformance, recommending improvement opportunities and corrective actions.
- Flag emerging risks early and outline mitigation strategies for respective markets.
- Collaborate with markets to develop annual business plans and performance targets informed by analytics insights.
Required Qualifications:
- 3+ years of experience in Data Science and Machine Learning, preferably within the retail financial services industry, prior experience in insurance/reinsurance domain is a huge plus
- Hands-on experience of multivariate analysis, modeling, segmentation and UW/claims/contact center/distribution analytics using statistical techniques
- Expert in both concept and building AI/ML models, also in using data mining languages /tools eg, some or all of Python, SAS, R, SQL or equivalents
- Experience in any big data/ cloud solution of Azure, Hadoop, Hive, Spark etc. is a plus
- Strong experience in deploying analytics solutions including targeting, test and control development, response tracking and analysis
- Experience translating complex business problems into analytical requirements and propose actionable solutions based on internal and external best practice.
- Strong communication and presentation skills. Ability to persuade a wide range of colleagues
- Ability to lead and build an initiative from scratch and to handle high level of ambiguity
- Able to maintain strong, productive relationships with stakeholders and external partners
- Able to work independently as well as a good team player
- Highly regulated business environment by nature
- Some analytical solution is difficult to measure the exact financial impact, or right on the path but no immediate big financial impact and how to align stakeholders
- Data availability and data quality issues in certain markets can always be challenges to build sound analytical solutions
- Deploying analytical findings require multiple efforts from multiple stakeholders from both regional and local
- Managing stakeholders with conflicting objectives/priorities
When you join our team:
- We’ll empower you to learn and grow the career you want.
- We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
- As part of our global team, we’ll support you in shaping the future you want to see
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].
Working Arrangement
Top Skills
Azure
Hadoop
Hive
Python
R
SAS
Spark
SQL
Manulife Singapore Office
51 Bras Basah Rd, Singapore, Singapore , Singapore, 189554
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