Bring your career aspirations to life with AIA!
Able to apply different data science techniques such as deep learning, machine learning, reinforcement learning, natural language processing and other approach on different business requirements from different business units.
Other activities which you will be engaged on include :
Projects that require artificial intelligence in implementing automation
Improve and assess algorithms build by other data analytics and data scientist resources
Assess and learn data engineering tools and data visualization tools
Build dashboards, reports and create data presentation
Train and educate the organization as we transform towards a data-driven organization
Build processes and tools to govern data analytics across the organization
Aligns with AIA PH Analytics Team on projects, methodologies, etc.
Roles and Responsibilities :
Able to collect, extract, and wrangle data that is used to perform analytic modelling.
Develop custom data models and algorithm applied to different data sets based on business requirements
Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
Develop testing framework and test model quality.
Coordinate with different business units to implement models or process and tools.
Adhere to governance and framework under the AI Governance policy
Develop / build visualization and dashboards through PowerBI
GENERAL QUALIFICATIONS :
Innovative, proactive, creative, well-organized and able to easily adapt to various technologies
Strong analytical skills and logical reasoning; attention to details; Process-oriented
Great interpersonal skills and excellent oral and written communication skills. Can present complex information in a clear and compelling manner
Comfortable in very fast-paced environment and transforming organization
Willingness and desire to learn new environment and tools and advance your knowledge. Keeps up to data with new research and integrated applications in the area of data science.
Willingness to train and educate resources on data science topics
TECHNICAL QUALIFICATIONS :
Bachelor’s Degree in Statistics, Mathematics, Data Science, Computer Science or a related discipline with 3 years + experience in data / computational focus.
Experience using programming languages such as Python, SQL
Experience using visualization tools such as Tableau, PowerBI.
Strong knowledge on advanced statistical methods, predictive and prescriptive methods. Preferably with expertise in deep learning, recommender systems, and NLP / Computational Linguistics
Background in handling big data. Strong track record of manipulating, processing, and extracting data from large databases. 
