Who we are

Looking for a career that will excite, challenge and inspire you Thinking about insurance Perhaps you should. Working for us is a totally different experience to what you probably expect. How do you feel about the things you truly love Don't you want to protect them in the best way possible Imagine if you could help people do this all over the world. You'd give them confidence and reassurance by protecting what they love most. This is no easy task. In today's interconnected world, tackling risk is fast, unpredictable and invigorating. You'll have to think on your feet as you manage risks big and small, from flooding to cyber-crime. You'll be tackling issues like these in over 170 countries. It's a big challenge, but you'll have a truly diverse network helping you. As part of an international team, every day would provide opportunities to learn, grow and share ideas.

As you make an impact across borders, you'll feel the support of being part of a strong and stable company. A long-standing player in the insurance industry, we make every effort to address the career development needs and plans of our employees to ensure their success in the future.

So make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us.

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.

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 advance data science techniques to complex data sets.

Your role

As a Data Scientist your main responsibilities will involve:

Lead discussion with the business stakeholders from better defining the problem and best suitable solution, up to building and delivering end-to-end solutions, and ensuring of successful delivery of benefits in production to improve customer engagement, business processes and product enhancements

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.

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.

Lead and own the technical architecture of the data platform in production, and drive processes and system improvement to enhance performance, and optimize costs.

Drives the development of next-generation, market leading, analytic techniques to build the capabilities of the Data Science Center of Excellence for APAC

Your Skills and Experience

As a Data Scientist your skills and qualifications will ideally include:

Bachelor degree in related fields and/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 treEs, probability networks, clustering, neural networks

Minimum 1 years hands-on experience in unstructured data, including natural language processing, images recognition, OCR, voice to text etc

Experience in deploying solutions in production (Azure, AWS)

Expert user in Python, and data wrangling packages.

Familiar with MLOps, API Development (FastAPI,..)

Experience with AI Agents Observability & Performance Monitoring: reporting on key performance metrics to maintain reliability and optimize outcomes.

Data science experience in similar industry (e.g. insurance, financial services) preferred

Data Scientist, APAC