FWD Life Insurance Corporation
Data Science Senior Specialist
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₱660,000 – ₱960,000 / year
Location:
Taguig, Metro Manila, Philippines
Work mode:
Onsite
Published on:
13 August 2026
What they need
Job Purpose:
The position will support the identification and deployment of analytics use cases impacting the business. He/She will work with first party and third-party data to design, develop and implement predictive models and analytics solutions enabling FWD’s processes and decision making. He/She will support Persistency Analytics pillar and can be extended to cover Distribution Analytics focusing on augmenting agency recruitment activities. He/She will also support the creation of Generative AI products to support various areas of the business.
Key Responsibilities
Collaborate with various business units such as Marketing, CX, Distribution & Operations to identify analytical use cases relevant to the business
Design and implement analytics solution which may include data preparation, feature selection/engineering, model development and implementation, deployment, and performance tracking.
Translate the result to actionable insights and present the same to stakeholders
Create proper documentations detailing the model development tasks and results.
Quantify impact of the analytics solution deployed.
Education & Certification:
- Candidate must possess at least a Bachelor's/College Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or any related field
- AWS/ Azure/Microsoft Certification is an advantage but not required.
Experience:
· 3-5 years' experience in the field of Data Analytics
· Experience in end-to-end ML/AI model development lifecycle
· Exposure to LLMs or NLP techniques
· Proficiency in SQL, Python/R, ML libraries, Power BI, Microsoft services/tools
· Experience working in an AWS/Azure Cloud environment
· Solid understanding of data structures, algorithms and basic deep learning concepts
· Experience in documenting requirements, model builds and data lineage
· Ability to prepare results and communicate effectively at all levels
· Must be willing to learn new technologies
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