locations Taguig City, National Capital Region (Manila)
time type Full time
posted on Posted 7 Days Ago
job requisition id JR********
You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.
Job Description: Job Description We are looking for a mid-senior Data Scientist to join our data analytics team.
You will work on building & deploying predictive/ AI models and advanced analytics to enable distribution excellence, customer experience, marketing, underwriting, and operations etc for our business functions. This role requires strong statistical modeling and machine learning skills to leverage our internal & external data assets and deliver business impact.
In order to accelerate capabilities and development of advanced analytic & AI solutions, our organization has established a regional Advanced Analytics Centre of Excellence (CoE) in Asia. The CoE sets overall AA/ AI strategy for BUs, implement AA/ AI use cases together with different stakeholders including distribution, marketing, client experience, operation etc, and execute against analytics roadmap. The CoE partners with each BU's data and analytics teams to identify use cases and convert requirements into solutions.
This role is part of the AA CoE and will contribute to development and implementation of data analytics/ AA/ AI models across select Business Units in Asia.
Key Job Accountabilities: Develop machine learning and predictive models leveraging techniques including but not limited to regression, random forest, boosting algorithms to solve critical business problems Collaborate with business teams including marketing, distribution, client experience etc. to identify business challenges that can be solved using advanced analytics Research and implement newer modeling techniques and machine learning operations (MLOps) capabilities to increase advanced analytics maturity in the organization Explore and analyze external data sources to generate additional insights for the business Special Skill and Expertise requirement You have an in-depth understanding of machine learning / AI algorithms e.g. supervised, unsupervised, and reinforce learning model, coupled with strong ability in recommending appropriate analytics solution (algorithms) You are familiar with predictive model development, model tuning, back testing, data feature engineering etc. Proficiency in programming languages like Python, R (optional). Prior experience of model development and model deployment in AWS SageMaker is a strong plus. Good communication, collaboration, and presentation skills. You desire a fast paced, test-driven, collaborative and iterative environment. You excel at making complex concepts simple and easy to understand. Academic and Job Experience requirement 5-8 years' hands-one experience of successfully working with data sciences and analytics team Strong business FSI domain knowledge – prior insurance industry experience preferred. Bachelor/ Master degree in Computer Science/ Engineering, Statistics, Mathematic or related fields Experience develop and deploy AA models for insurance industries is an advantage. An advanced data science thinker, doer and expert who likes diving in to solve new problems and design/implement new platforms and solutions. Experience solving analytics problems using quantitative approaches and predictive modeling Proven high-level strategic, creative-thinking, and problem-solving abilities. Ability to build teamwork and a healthy, respectful, yet driven culture locations Taguig City, National Capital Region (Manila) time type Full time
posted on Posted 7 Days Ago
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