Data Scientist, AI and Automation - (Contract)

Job Purpose : The Data Scientist under Persistency Tribe is responsible for understanding business needs, designing and developing practical data, AI, and automation solutions, and supporting their adoption into day-to-day business operations. This position also supports the transformation roadmap by preparing trusted data, automating high-effort and repetitive processes, generating clearer and more actionable insights, and helping Persistency Tribe staff build confidence in using data, AI, automation, and emerging technologies responsibly. This role requires a combination of analytical capability, technical execution, business understanding, and user adoption support Responsibilities: Understand Business Problems and Shape Use Cases Work with Business Analysts, Product Owners, Project Managers, and business users to understand manual processes, repetitive tasks, control points, handoffs, and pain points that can be simplified, automated, or redesigned. Translate business problems into practical data, analytics, AI, or automation use cases. Contribute ideas for new AI, technology, analytics, and automation initiatives aligned with Persistency Tribe priorities and transformation principles. Support prioritization of use cases by assessing business value, feasibility, data availability, complexity, and adoption readiness. Help define expected outcomes, success measures, user requirements, and practical implementation considerations. Build Data, AI, and Automation Solutions Build and support practical tools for real business use cases, including prediction models, GenAI tools, text-to-SQL solutions, exception detection, data validation routines, dashboards, workflow automation, and scripts that reduce recurring manual effort. Support GenAI-assisted commentary and management narrative preparation by validating source data, checking consistency, and ensuring outputs are grounded in approved and reliable information. Test, validate, and refine outputs to ensure accuracy, usability, and business relevance before deployment or user release. Drive Adoption and Train Users Help Persistency Tribe users build confidence in using data, AI, automation tools, dashboards, and GenAI solutions safely and effectively. Support preparation of practical training materials covering AI, data, analytics, automation, dashboards, GenAI usage, and responsible technology adoption. Assist in user clinics, demos, training sessions, knowledge-sharing activities, and hands-on support to improve adoption of new tools and ways of working. Create simple user guides, FAQs, use-case examples, prompt examples, and do-and-don't guidance for responsible AI and technology usage. Track usage, adoption, feedback, and pain points to identify opportunities for improvement. Support change champions and business users in embedding new tools and solutions into regular business processes. Collaborate, Govern, and Document Maintain clear documentation for datasets, automation logic, analytical assumptions, model outputs, GenAI prompts, testing results, user guides, and solution handover materials. Support documentation required for usage tracking, auditability, data governance, AI governance, model governance, and responsible AI controls. Work closely with Business Analysts, Product Owners, Project Managers, Data Science, IT, Risk, Compliance, and business users to ensure deliverables are understood, adopted, and embedded into business processes. Participate in knowledge-sharing activities to uplift data, technology, automation, and AI capability of tribe members. Continuous Improvement and Capability Uplift Identify opportunities to improve existing reports, processes, workflows, automation tools, analytical outputs, and user experiences. Support the standardization and reuse of data assets, analytical logic, automation components, prompt templates, and training materials. Stay informed about practical developments in analytics, automation, GenAI, and emerging technologies that may benefit Persistency Tribe transformation. Contribute to a culture of experimentation, responsible innovation, continuous improvement, and data-driven decision-making. Qualifications: Experience in insurance, finance, actuarial, agency, persistency, conservation, campaign, or customer analytics. Experience in transformation, product development, consulting, or business improvement initiatives where the candidate helped build a solution and drive user adoption. Knowledge of finance reporting, FP&A, controllership, actuarial processes, or insurance business operations. Experience with automation tools, self-service analytics platforms, workflow tools, or low-code/no-code platforms. Experience supporting GenAI use cases, prompt design, AI-assisted reporting, or data-driven narrative generation. Experience helping users through change, conducting training, preparing user guides, or supporting adoption of new tools. Familiarity with data governance, AI governance, model governance, information security, or audit requirements. เพื่อให้เป็นไปตามมาตรฐานและนโยบายการคัดสรรบุคลากรของบริษัท เอไอเอ (ประเทศไทย) หลังผ่านการคัดเลือกแล้ว ผู้สมัครต้องได้รับการตรวจประวัติอาชญกรรมก่อนเริ่มงาน ทั้งนี้ บริษัทจะเก็บประวัติอาชญากรรมของท่านตามนโยบายข้อมูลส่วนบุคคลของบริษัท รายละเอียดตามลิงค์แนบ [https://www.aia.co.th/th/about-aia/privacy/candidate] In accordance with recruitment policy and hiring standard of AIA (Thailand) Company Limited, after completing the selection process, you are required for criminal background check before joining the company. Your criminal record information will be retained according to the PDPA policy of the company. As per attached link [https://www.aia.co.th/th/about-aia/privacy/candidate]