Lead Data Scientist – Underwriting AI

The Lead Data Scientist – Underwriting is a senior leadership role responsible for driving regional and BU-level AI, ML, and Generative AI solutions to transform underwriting decision-making across Asia. This role combines deep technical expertise, people leadership, and strong business partnership to deliver scalable, compliant, and value-generating underwriting capabilities.

You will lead and grow a team of data scientists focused on underwriting AI, while also acting as a hands-on technical leader shaping advanced predictive, prescriptive, and generative solutions. The role partners closely with underwriting, risk, technology, and regional stakeholders, and supports the Chief AI Officer in delivering the Asia AI Value agenda and building world-class, revenue-generating analytics.

Position Responsibilities:

Technical & Business Leadership

Lead the design, development, and deployment of AI, ML, and Generative AI solutions supporting underwriting use cases, including:

Underwriting summarization and document intelligence

Risk assessment and decision support

Straight-through processing (STP) and workflow automation

Data-driven underwriting rules optimization

Translate complex underwriting and business problems into scalable analytical and GenAI solutions with measurable business outcomes.

Drive adoption of AI solutions by embedding them into end-to-end underwriting workflows, ensuring usability, governance, and regulatory compliance.

Partner with reinsurers, vendors, and external technology providers to co-develop or integrate advanced underwriting solutions.

Lead, coach, and develop a high-performing team of data scientists focused on underwriting AI and analytics.

Generative AI & Advanced Analytics

Lead the application of AI and especially GenAI in underwriting, including:

Large Language Models (LLMs) for text-heavy underwriting data (e.g., medical reports, financial statements, applications)

Prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks

Model orchestration, guardrails, and human-in-the-loop designs

Ensure AI solutions are responsible, explainable, auditable, and compliant with internal AI governance and regulatory expectations.

Establish standards for model lifecycle management, performance monitoring, and value tracking for AI and GenAI solutions.

Strategy, Governance & Stakeholder Management

Contribute to AI and data strategy, focusing on data optimization, monetization, and external data enrichment.

Collaborate with global and regional teams to define common modeling standards, governance, and reusable AI assets, aligned with AI CoE guidelines.

Maintain a regional/global model repository to track models in use, performance, and risks.

Act as a trusted advisor to underwriting and business leaders, influencing prioritization and investment decisions.

Proactively identify risks, data challenges, and stakeholder conflicts, and drive alignment and mitigation plans.

Required Qualifications:

10+ years of experience in AI, machine learning, or advanced analytics, preferably within financial services.

Strong underwriting, insurance, or reinsurance domain knowledge (highly preferred).

Proven experience leading complex analytics initiatives in highly regulated environments.

Technical & GenAI Skills

Strong hands-on expertise in ML/statistical modeling, segmentation, and underwriting or claims analytics.

Advanced proficiency in Python, SQL, and common data science toolchains (R, SAS a plus).

Practical experience with Generative AI, including:

Large Language Models (LLMs)

Prompt engineering and RAG architectures

Model evaluation, bias mitigation, and explainability

AI governance and responsible AI practices

Experience with cloud and big data platforms (e.g., Azure, Spark, Databricks, Hadoop).

Strong understanding of deploying models into production, including monitoring and lifecycle management.

Leadership & Communication

Demonstrated ability to lead and scale teams, mentor data scientists, and manage ambiguity.

Strong stakeholder management skills with the ability to influence senior leaders across regions.

Excellent communication and presentation skills, translating technical concepts into business language.

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.

宏利金融有限公司是全球领先的金融服务提供商，致力于帮助大众轻松作出明智抉择，实现精彩人生。如欲了解更多关于我们的信息，请访问人寿保险-养老保险-健康保险-中宏保险官网 (manulife-sinochem.com).

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Working Arrangement

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