Data Science, Senior Manager - Insurance

A Leading FI is hiring a data science, senior manager for their team.

• Independent manage business stakeholders for end to end predictive modelling projects which has high complexity and has higher technical challenges.
• Understand business needs, and facilitate with business stakeholders to define and develop new Product/Tool/Process innovation by using AI and Machine Learning
• Design modelling methodology
• Integrate necessary data
• Conduct data discovery and data transformation
• Build models to find best optimal
• Propose actionable business recommendations
• Drive data scientist and AI model roadmap execution and deliver the result
• Data scientist’s Model review and optimization
• Best practice sharing, and be the practical solution coach for Group & Country Data Scientists
• Collaborate with stakeholders across all markets to understand their data requirements and deliver solutions that meet these needs.
• Monitor and improve data quality within the platform.
• Collaborate with other teams to integrate data analytics into their operations.
• Continuously monitor the latest developments in data science and incorporate relevant techniques into our operations.

QUALIFICATIONS / EXPERIENCE
• Bachelor's or higher in Computer Science, Statistics, MBA, or equivalent trade-off in related professional work experience.
• 8 years strong experiences with Customer Analytics, Machine Learning, Data Mining, and Business Intelligence program development and implementation.
• Familiar SAS, SPSS, R, Python, Spark, pylearn2, SQL and MLOps, AWS Personalise, Pinpoint
• Actively seeks new AI/ML/data management technology options and approaches.
• Excellent communication skills and ability to work closely with business leaders to align with strategic goals.
• Ability to translate complex data into actionable insights.

KNOWLEDGE & TECHNICAL SKILLS
• Knowledge of insurance industry leading data analytics and AI practices.
• Statistics Modelling Skill: linear regression, logistic regression, decision tree, neural network, random forest, k-means, ARMA, association rule
• Tool: SAS, SPSS, R, Python, RapidMiner, Spark, pylearn2, SQL, Azure, AWS, AWS Personalise, AWS Pinpoint, Redshift, mysql