Data Scientist

Manulife Financial; Singapore; Hybrid; SGD 80,000 - 100,000; Full time

Job summary

A leading financial services provider is seeking a driven Data Scientist to join their AI Centre of Excellence in Singapore. The role involves leading AI and machine learning initiatives, optimizing insurance-related modeling, and transforming insights into actionable strategies. The ideal candidate will have over 3 years of experience in data science, strong analytical skills, and the ability to work with various data tools. A collaborative mindset and excellent communication skills are essential for engaging with stakeholders effectively.

Benefits

Flexible work environment

Career development opportunities

Inclusive workplace culture

Qualifications

• Experience in the retail financial services industry preferred.
• Strong experience in deploying analytics solutions.
• Ability to work independently and as part of a team.

Responsibilities

• Deliver machine learning and AI solutions across the insurance value chain.
• Oversee campaign effectiveness and model performance.
• Collaborate with global teams to standardize modeling frameworks.

Skills

Data Science

Machine Learning

Statistical Analysis

Communication Skills

Stakeholder Management

Education

3+ years of experience in Data Science

Tools

Python

SQL

Azure

Hadoop

Job description

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

關於宏利和恒康

宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽 https://www.manulifeim.com/institutional/tw/en。

宏利是平等機會僱主

在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 [e-mail]。

Working Arrangement

混合式