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**Job Description**:
PURPOSE
- Responsible for setting enterprise-wide data science and AI strategy, roadmap, process and tools to achieve Data Driven Decision Organization
- Drive the implementation of strategic data science initiatives such as AI lab, ML, and customer analytics to achieve business growth, better customer experience and productivity improvement.
- Building the Data Science capability and team for the firm while effectively managing this newly developed function.
- Enable country data science team by strategy design, best practice sharing, necessary training and coach.
KEY ACCOUNTAIBILITIES
- Provide thought leadership and contribute to developing and executing detail data science and AI strategy and roadmap
- Build high performance team
- Deliver actionable insights through machine learning and AI
- Collaborate with stakeholders to define and develop new Product/Tool/Process innovation by using AI and Machine Learning
QUALIFICATIONS / EXPERIENCE
- Bachelor's or higher in Computer Science, Statistics, MBA, or equivalent trade-off in related professional work experience.
- ~10 years strong experiences with Customer Analytics, Machine Learning, Data Mining, and Business Intelligence program development and implementation.
- ~5 years team management experience.
- Familiar SAS, SPSS, R, Python, Spark, pylearn2, SQL
- Actively seeks new AI/ML/data management technology options and approaches.
- Strong people Management skills
- Excellent communication skills and ability to work closely with business leaders to align with strategic goals.
KNOWLEDGE & TECHNICAL SKILLS
- Knowledge of insurance industry leading data analytics and AI practices.
- Knowledge of advanced analytics: linear regression, logistic regression, decision tree, neural network, random forest, k-means, ARMA, association rule, SVM, ANN, CNN, DNN
- Tool: SAS, SPSS, R, Python, RapidMiner, Spark, pylearn2, SQL