Job Summary Zurich Life Assurance is looking for a Data Scientist to join their Data Analytics team.
The successful candidate will help the company get the most out of its data - when servicing its customers & intermediaries or supporting the company's growth & performance.
You will get the opportunity to learn new software skills on a wide range of tools (Python / Tableau / Qlik Replicate & Compose / SQL) and modelling techniques.
Your Role As a Data Scientist your main responsibilities will include, but not necessarily be limited to, the following: Key Accountabilities Perform data-related functions including analysis, cleansing, mapping and visualisation.
Collaborate with business stakeholders to understand demands, identify new solutions and build/lead their implementation.
Discover, learn and apply new and existing analytical techniques and tools.
Work on cross-functional projects to provide new data driven insights.
Assess the quality of business and technical requirements for future projects.
Expand Data Warehouse with new sources of data to enrich future and existing reports.
Identify opportunities for improvements in existing processes to improve efficiency.
Provide specialist advice to address specific technical queries from internal and external clients.
Design and deliver appropriate solutions where necessary.
Create clear documentation for any changes to existing processes or in the development of new processes.
Research best practices and review and analyse detailed business models to support senior management in developing and improving processes and systems.
Act within a number of complex processes and procedures and use in-depth knowledge to solve internal customer issues or escalate appropriately to manager, internal partners or external vendors.
Your Skills and Experience As a Data Scientist your skills and qualifications will include Required: Bachelor's or postgraduate qualification in Data Analytics, Computer Science, Statistics, or related discipline.
Proficiency in a programming language (e.g., Python and R).
Preferred: Experience using Data Visualisation tools (such as Tableau).
Experience using SQL.
Experience using ETL tools for Data Warehousing.
Developing models and analysis of data for clear business use cases.
Demonstrable presentation, written, verbal and interpersonal communication skills.
Experience performing machine learning, predictive analytics, or other techniques for analysis.
Experience developing and deploying production level processes.
Desire and ability to learn new technologies and techniques.
Ability to balance multiple tasks while maintaining attention to detail.
Familiarity with using Bitbucket or GitHub.
Additional Information This is a hybrid role which may initially be office based to allow for onboarding (Blackrock office).
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.
Hiring Manager: Robert Doyle 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.
Zurich in Ireland is part of Zurich Insurance Group, a leading multi-line insurer that serves its customers in global and local markets.
Our 55,000 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 a competitive compensation package 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.
If you value an exciting and varied working environment and meet the above requirements, then we are looking forward to receiving your application.
