Data Scientist - Underwriting Analytics Dublin/Wexford

Job Summary

Zurich Insurance Company Europe AG Ireland branch is looking for a Data Scientist – Underwriting Analytics within the Actuarial Pricing function. This role is ideal for an analytically strong, hands on data professional with solid coding skills and experience in statistical modelling, machine learning and/or AI, who wants to apply these capabilities to real insurance underwriting and pricing challenges.

You will work across both Personal Lines and Commercial Lines, leading complex analyses, developing models and tools, and turning data into actionable insights. You will also help to mentor and support junior team members in their development.

This role may be available part-time or full time. This is because we want the best people for our roles, and we recognise that sometimes those people aren’t available full-time.  Please talk to us at interview about the flexibility you may need.

Your Role

As a Data Scientist your main responsibilities will include, but not necessarily be limited to, the following:

• Leading the development of analytical solutions and models to support underwriting and pricing decisions.
• Designing, building and maintaining robust data pipelines, datasets and codebases that support regular MI, dashboards and advanced analytics.
• Taking ownership of more complex reporting and forecasting processes, ensuring they are accurate, scalable and well-documented.
•  Enhancing existing MI for Underwriting and Performance KPIs, introducing more advanced analytics.
• Developing and maintaining financial and performance forecasting models to support planning and portfolio steering.

Your Skills & Experience

As a Data Scientist your skills and qualifications will include: 

• Bachelor’s degree (or equivalent) in Mathematics, Statistics, Actuarial Science, Data Science, Computer Science, Engineering, Economics, Finance or a related quantitative discipline.
• Typically 2–5 years of experience in data science, advanced analytics, actuarial, or a closely related field.
• Strong coding skills in at least one of Python or R, with experience of writing clean, reusable, well-structured code.
• Practical experience with statistical modelling and/or machine learning techniques, such as: 

1. Generalised linear models (GLMs) or other regression methods
2. Tree-based methods (e.g. random forests, gradient boosting)
3. Time series modelling and forecasting
4. Clustering and segmentation technique
5. Experience with data visualisation tools such as Power BI or Tableau (designing and publishing dashboards for business users).

Additional Information

Primary work location is Wexford/Dublin but occasional travel may be required to other Zurich locations.

If you value an exciting and varied working environment and meet the above requirements, then our recruiter is looking forward to receiving your application by clicking on the button “Apply online”.

Who we are 

Zurich is one of Ireland's leading insurance companies providing a wide range of general insurance and life insurance products and services. The company employs over 1,000 people across its locations in Dublin and Wexford. 

Zurich is a strong brand – with our 53,000 employees worldwide form the basis of our success, helping our customers in 210 countries and territories to understand and protect themselves from risk. In order to deliver our services, we offer our employees flexible working models and interesting opportunities for further training & development. As a Zurich employee you benefit from a multitude of advantages as well as a strong culture, characterized by acceptance, diversity and team spirit.

 
At Zurich, we foster a culture of diversity and inclusion. Our purpose and values are designed to protect, inspire confidence and help our employees reach their full potential. We value and defend what is right and promote opportunities for equity among our professionals, regardless of gender, disability, LGBTQ +, race, ethnicity, generations, belief, etc. Join Zurich and be part of this culture. Together we are committed to delivering on our purpose - Let’s Create a Brighter Future Together!