Data Scientist

Zurich Insurance; Dublin; On-site; EUR 65,000 - 95,000; Full time

Job summary

Zurich Life Assurance plc in Blackrock is seeking a Data Scientist to apply coding, statistical modelling and analytics to insurance and operational challenges. The role blends hands-on data work with building dashboards and AI tools to turn data into actionable insights.

You will develop models, maintain robust data pipelines, and partner with multiple departments to make data accessible for decision making.

Qualifications

• Bachelor’s degree (or equivalent) in Data Science, Computer Science, Mathematics, Statistics, Actuarial Science, Engineering, Economics, Finance, or a related quantitative discipline.
• Coding skills, preferably in Python, with experience of writing clean, reusable, well-structured code.
• Practical experience (or strong interest in learning) with statistical modelling or machine learning techniques (GLMs, tree-based methods, time series, clustering).
• Experience with data-visualization tools, preferably Tableau.
• Experience with AI tools, preferably MS Copilot Studio.

Responsibilities

• Develop analytical solutions and models to support various departments.
• Designing, building, & maintaining robust data pipelines, datasets, & codebases that support regular MI, dashboards, & advanced analytics.
• Developing and maintaining dashboards & reports that provide insight to various departments.
• Developing solutions that make it easy for people to get their hands on the data they need for their job.
• Developing & maintaining AI agents & solutions that improve quality & efficiency.

Skills

Python programming

Data modelling

Machine learning

Data visualization

Statistical analysis

Education

Bachelor's degree in a quantitative field

Tools

Tableau

MS Copilot Studio

Job description

Job Summary

Zurich Life Assurance plc is looking for a Data Scientist within the Data Analytics department. This role is ideal for an analytically strong, hands‑on data professional with experience or strong interest in developing coding, statistical modelling & analysis, data visualization, machine learning, or AI that wants to apply these capabilities to real insurance & operational challenges.

You will work with departments across the company to help them get their hands on the data that they need to perform & improve their jobs and to turn data into actionable insight by performing complex analyses, developing models, and building dashboards & reports. You will also work with departments to build AI agents & tools to help improve quality & efficiency.

This role may be available on a part-time or full-time basis. This is because we want the best people for our roles, and we recognize that sometimes those people are not 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 limited to, the following:

• Development of analytical solutions and models to support various departments.
• Designing, building, & maintaining robust data pipelines, datasets, & codebases that support regular MI, dashboards, & advanced analytics.
• Developing and maintaining dashboards & reports that provide insight to various departments.
• Developing solutions that make it easy for people to get their hands on the data they need for their job.
• Developing & maintaining AI agents & solutions that improve quality & efficiency.

Your Skills & Experience

As a Data Scientist, your skills and qualifications will include some or all of the following:

• Bachelor’s degree (or equivalent) in Data Science, Computer Science, Mathematics, Statistics, Actuarial Science, Engineering, Economics, Finance, or a related quantitative discipline.
• Coding skills, preferably in Python, with experience of writing clean, reusable, well-structured code.
• Practical experience (or strong interest in learning) with statistical modelling or machine learning techniques, such as the following:
• Generalized linear models (GLMs) or other regression methods
• Tree-based methods (e.g. random forests, gradient boosting)
• Time series modelling and forecasting
• Clustering and segmentation techniques
• Experience with data-visualization tools, preferably Tableau.
• Experience with AI tools, preferably MS Copilot Studio

Additional Information

Primary work location is Blackrock 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 Insurance Group (Zurich) is a leading global multi-line insurer founded more than 150 years ago, which has grown into a business serving more than 82 million customers in more than 200 countries and territories, while delivering industry-leading total shareholder returns.

Reflecting its purpose to ‘create a brighter future together,’ Zurich offers protection services that go beyond traditional insurance, to support its customers in building resilience. Since 2020, the Zurich Forest project supports reforestation and biodiversity restoration in Brazil’s Atlantic Forest.

The Group has more than 65,000 employees and is headquartered in Zurich, Switzerland. Zurich Insurance Group Ltd (ZURN) is listed on the SIX Swiss Exchange and has a level I American Depositary Receipt (ZURVY) program, which is traded over-the-counter on OTCQX. Further information is available at www.zurich.com.