Data Scientist, APAC

Our opportunity:

As 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 advanced data science techniques to complex data sets.

Key Responsibilities:

1. Lead discussion with the business stakeholders to better define the problem and best suitable solution.
2. Drive the development of next-generation, market-leading analytic techniques to build the capabilities of the Data Science Center of Excellence for APAC.
3. Hands-on delivery in predictive modeling, machine learning, NLP, OCR, and AI.
4. Establish, maintain, and grow strong, collaborative relationships with key internal and external partners; leverage relationships to drive ongoing improvements to the data and data architecture.
5. Lead the implementation of data science initiatives to improve customer engagement, business processes, and product enhancements.
6. 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.
7. Complete an in-depth diagnostic of customer needs, issues, and business drivers and recommend process and system improvements to enhance customer service.
8. 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.
9. Lead monthly sharing to the APAC Data Community to help democratize advanced usage of Data across the Region, and mentor early adopters.

Qualifications, Skills & Experience:

1. Bachelor's degree in related fields and 2 or more years of experience in data science.
2. Lead and implement data science use cases and deliver measurable benefits.
3. Advanced knowledge of statistical and predictive modeling techniques such as machine learning, decision trees, probability networks, clustering, neural networks.
4. Experience in unstructured data, including natural language processing, image recognition, OCR, voice to text, etc.
5. Advanced user in Python, and data wrangling packages.
6. Data science experience in a similar industry (e.g. insurance, financial services) preferred.

Additional Information:

Primary work location is Singapore or Hong Kong. You can apply by clicking on the button "Apply online".

You are the heart & soul of Zurich!

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step.

People are Zurich’s most important asset. Their varied skills, perspectives, and experiences drive innovation. And they reflect the breadth and diversity of our customers, suppliers, communities, and investors around the world. We are committed to attracting and retaining talented individuals from a variety of backgrounds and experiences.

Let’s continue to grow together!

• Location(s): Singapore
• Remote working: Hybrid Working Model
• Recruiter name: Ahona Adhikary
• Closing date: