Senior Data Scientist

Manulife; Singapore; Hybrid; SGD 100,000 - 150,000; Full time

Job summary

A leading financial services provider is seeking a Senior Data Scientist to join their AI Centre of Excellence in Singapore. The role involves leading AI initiatives, developing advanced predictive models, and optimizing data strategies to enhance business outcomes. Candidates must have over 6 years of experience in data science, strong skills in machine learning, and proficiency in tools such as Python and SQL. This hybrid position values innovation and collaboration across teams.

Benefits

Flexible work environment

Learning and growth opportunities

Qualifications

• 6+ years of experience in Data Science and Machine Learning, preferably in the retail financial services industry.
• Hands-on experience of multivariate analysis, modeling, and analytics.
• Expert in building AI/ML models using Python, SAS, R, SQL, or equivalents.

Responsibilities

• Lead regional and business-unit–level AI initiatives.
• Deliver machine learning and AI capabilities across the insurance value chain.
• Collaborate with global teams to establish governance and modeling standards.

Skills

Data Science expertise

Machine Learning

Analytical problem solving

Strong communication

Education

6+ years experience in Data Science and Machine Learning

Tools

Python

SAS

R

SQL

Azure

Job description

We are looking for a driven and innovative Senior Data Scientist to join the AI Centre of Excellence at Manulife Asia, based in Singapore. In this role, you will lead regional and business‑unit–level AI initiatives, delivering insurance‑focused machine learning and GenAI solutions across the value chain. Leveraging deep data science expertise and strong insurance domain knowledge, you will translate advanced analytics into measurable business outcomes by embedding scalable AI solutions into operational workflows. You will also own the design and implementation of robust AI evaluation and monitoring frameworks to ensure long‑term performance, scalability, and business value.

Position Responsibilities:

• Delivery of machine learning and AI capabilities across insurance value chain.
• Management of campaign effectiveness and model maintenance across markets, and cross pollination of best practices.
• Tracking and reporting of AI project benefits; identifying improvement opportunities and additional business initiatives.
• Supporting analytics data strategy focusing on data optimization/monetization opportunities using internal data, identifying external data sources to enrich Manulife analytics data base, as well as supporting data governance initiatives.
• Lead the development of advanced predictive/prescriptive models, and other analytical solutions for Asia markets to support the company’s profitable growth.
• Collaborate with global teams and other countries within the region to establish global modeling standard, governance, and a set of umbrella modeling solutions; ensure compliance with AI CoE standard to maintain analytics rigor and discipline.
• Establish and maintain regional/global model repository which captures, tracks and dynamically diagnoses models-in-use.
• Provide expert guidance to the in-country Analytics team on conducting advanced quantitative analyses/modeling both technically and under the right domain/context.
• Support data strategy.
• Enable effective engagement with prospects / existing customers leading to higher new sales, repeat sales, leveraging data & advanced analytics models/techniques across all channels, eg Agency, Banca, Digital direct etc.
• Provide expert guidance to the in-country AI team on conducting advanced quantitative analyses facilitating effective targeting, segmentation, and identification of opportunities around cross‑sell / up‑sell, and marketing program optimization.
• Support Banca/digital channel expansion as well as raising sales efficiencies through data/analytics model‑driven targeting and personalized offer.
• Recognize market, product and channel specific challenges, innovatively propose the most effective and efficient actions driven by analytics solutions which balances time‑to‑market with analytics rigor.
• Partner with regional / BU business stakeholders in prioritizing and optimizing activities / decisions driven by analytics solutions, in a customer‑centric, need‑based context.
• Guide and help the in-country AI team to design, develop and draw insights from campaigns – with a focus on the rigor required for analytics model development.
• Institute regional / BU level analytics result tracking / reporting capabilities, and develop / maintain regional best practices in campaign management.
• Identify root cause and improvement opportunities in case of underperformance.
• Escalate early risks and mitigation action points for respective markets.
• Develop next year business plan and targets by collaborating with markets.

Required Qualifications:

• 6+ 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.

Acerca de Manulife y John Hancock

Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite http://www.manulife.com.

Manulife es un empleador que ofrece igualdad de oportunidades

En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.

Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a [e-mail].

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