Requirements:

• Highly Proficient in spoken and written English
• Team-player mindset
• Strong business acumen and logical thinking capability, ability to come up with creative solutions to address customer problem
• Industry knowledge in AI/ML space
• Familiarity with software development concepts and best practices (e.g. version control, documentation, testing) would be a plus. 
• Experience with delivering managerial information from insurance, healthcare or pharmaceutical would be a plus, but not a must
• Strong analytical and statistical skills
• Strong industry and business operations knowledge: market trends, patient care and effectiveness perspectives
• Practical knowledge of Jupyter, Python/R and SQL, other languages or tools (i.e. R, Hadoop, Scala, SAS) as an additional advantage. Knowledge of handling Big Data is a plus
• 4+ years of professional experience in programming and solving business problems using advanced analytics and data science
• Master’s degree in a quantitative discipline (e.g., computer science, statistics, mathematics, econometrics, or any related field)

Your future role

·       Provide managerial or medical information and findings after analysis from data

·       Provide architectural guidance & support for digital transformation projects

·       Contribute to the definition of the architecture and selection platforms, products and vendors

·       Contribute to the design for scaling, managing and governing end to end AI & MLOps Engineering

·       Contribute to continuous improvement and engender responsible AI

What we offer