- Drives the development of next-generation, market leading, analytic techniques to build the capabilities of the Data Science Center of Excellence for APAC
- Thought leadership and hands-on delivery in predictive modelling, customer analytics, intelligent automation, machine learning, NLP, OCR and AI.
- Establishes, maintains, and grows strong, collaborative relationships with key internal and external partners; leverages relationships to drive ongoing improvements to the data and data architecture.
- Lead the implementation of data science initiatives to improve customer engagement, business processes and product enhancements
- Play an active role in generating distinctive analytical and risk insights for the most complex and/or strategic business challenges and opportunities, including synthesizing insights into compelling ideas and messages.
- Complete an in-depth diagnostic of customer needs, issues and business drivers and recommend process and system improvement to enhance customer service.
- Analyze and review complex data from multiple internal and external sources to make informed, authoritative technical/ professional recommendations in order to improve business performance in the medium and longer term.
- Bachelor degree in related fields and 5 or more years of experience in data science
- Lead and implemented data science use cases and delivered measurable benefits
- Advanced knowledge of statistical and predictive modelling techniques such as machine learning, decision tress, probability networks, clustering, neural networks
- Minimum 2 years' experience in unstructured data, including natural language processing, images, voice data etc
- Expert user in R, Python, and data wrangling packages.
- Minimum 2 years' experience in in similar industry (e.g. insurance, financial services)
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Senior Data Scientist - Singapore - ZURICH INSURANCE COMPANY LTD (SINGAPORE BRANCH)
1 week ago
Description
Roles & ResponsibilitiesOur opportunity:
As Senior Data Scientist, you will be required to lead the development of distinctive analytical and risk insights that deliver improvements in business results and customer experience through the application of advance data science techniques to complex data sets.
Responsibilities:
Business Accountabilities:
Your Skills and Experience
Machine Learning
Data Wrangling
Scala
Big Data
Data Mining
SQL
Python
Data Architecture
Data Science
Databases
Data Visualization