AIA Hiring For Operations Data Science Analyst at Singapore Full Time

Operations Data Science Analyst

AIA–Singapore

About 3 hours ago, from AIA

Bring your career aspirations to life with AIA!

To support Life Operations division in :
• Incorporating processes, policies, guidelines and responsibilities for administering organizations’ data in compliance with organization’s policies, data governance framework and/or regulatory obligations
• Analyzing the data and to make recommendations about the methods and ways in which business obtains, stores and analyses data to improve quality and the efficiency of systems.
• Preparing and reporting on data trends, data gaps and make recommendations on corrective actions.

• Perform full time-cycle of Data Scientist and Analyst activities, including conceptualization to operationalization of the proposed solutions
• Work closely with business teams to understand the business requirements and translate them into data models for self-analysis and self-reporting purposes via dashboards, reports, queries etc.
• Build a project analysis framework for the business solutions – create analysis plan, work on hypotheses to test, build models, dashboard solutions, etc.
• Collaborate with cross-functional team to deliver high impact insights using advanced analytics across multiple and large data sets
• Apply data science to solve business problems, perform advanced statistical analysis and simulation, build high-quality data prediction modeling and use deep learning techniques
• Research, design, test, implement and validate models/ algorithms, to analyze diverse sources of data to achieve targeted outcomes
• Stay on top of the current industry trend and application of machine learning & AI. Deploy high quality machine learning models into different systems
• Validating machine learning results, visualizing and presenting the data insights to related functions for continuous improvements
• Guide users in processing, cleansing, and verifying the integrity of data used
• Solution and develop real time predictive analytics to derive actionable insights to improve operational efficiency and risks
• Apply data mining techniques and statistical analysis to uncover insights from the data and present results using visualization tools (i.e. Tableau, Power BI)
• Create standard procedures, process & best practices for data analytics to be used for current and succeeding project

Requirement

• Bachelor or Master Degree of Data Analytics or Data Sciense Related Major
• Minimum 3 years of experience in developing NLP classic ML models for practical solutions
• Proficient in programming languages in Python and SQL
• Deep understanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques
• Keen on learning, Curious and have a strong appetite for optimal solution.
• Knowledge on Azure, AWS or other similar cloud platform, success proven E2E cloud model deployment will be a big plus.
• Adaptable to dynamic operating contexts and able to manage multiple stakeholders
• Experience with data consumption platforms such as Power BI, Tableau or other data mining and visualization software is a plus.

Build a career with us as we help our customers and the community live healthier, longer, better lives.

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