Job description
Our 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.
Zurich Insurance has the policy to be an equal opportunity employer. We aim to attract and retain the best qualified individuals available, without regard to criteria such as race/ethnicity, national origin, religion, gender, sexual orientation, age or disability.
At Zurich we believe that having a culture of inclusion is essential in delivering good results. Attracting, retaining and developing a diverse workforce where employees feel valued, respected and empowered allows people to reach their full potential. As a business this diversity helps us to better reflect and understand our 4 million customers’ needs to allow us to drive better outcomes. As a global organisation, with an increasingly agile workforce, we're happy to consider flexible working arrangements
Key Responsibility
- Lead discussion with the business stakeholders to better define the problem and best suitable solution
- 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, 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.
Skills & Qualifications
- 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 recognition, OCR, voice to text etc
- Expert user in Python, and data wrangling packages.
- Data science experience in similar industry (e.g. insurance, financial services) preferred
