Operations Data Science Analyst
Job Description
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.
Job Details
About AIA Group
For more than a century, AIA has strived to make a significant, positive impact for our customers and communities across Asia, reinforced by our Purpose : to help millions of people live Healthier, Longer, Better Lives . Our Purpose guides the decisions we make and the actions we take as an organisation - empowering and enabling people to understand and manage their health, while meeting their long-term savings and protection needs. We believe that helping to create a healthier Asia is one of the most important and valuable things we can do for our communities, today and in the future.
Job Source :
aia.wd3.myworkdayjobs.com
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