Data Science Intern

Job Title: Data Science Intern

Location: Singapore

The Opportunity:

As Data Scientist Intern, you will be supporting the delivery of end-to-end AI/ML solutions using advanced data science techniques and best practices

Key Responsibilities:

• Lead discussion with the business stakeholders to better define the problem and identify and design the most suitable solution
• Deliver solutions using the latest techniques in data modelling, machine learning, Computer Vision, and Gen AI.
• Lead the end-to-end implementation of data science initiatives to improve customer engagement, business processes and product enhancements
• Analyze and review complex data from multiple internal and external sources to make informed, authoritative technical/professional recommendations to improve business performance in the medium and longer term.

Qualifications, Experience & Skills:

• Bachelor’s degree in data science
• Able to lead and implement data science use cases to deliver measurable benefits
• Good knowledge of statistical and predictive modelling techniques such as machine learning, decision tress, probability networks, clustering, neural networks
• Experience in managing structured and unstructured data, including natural language processing, images recognition, OCR, voice to text etc
• Well versed in building on the cloud, best practices and languages such as Python
• Past data science project delivered is a plus

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: [[Full Time/ Part Time]]
• Schedule: Full Time or Part Time
• Recruiter name: [[Ahona Adhikary]]
• Closing date: