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Data Scientist - Level 2

Job Title: Data Scientist II
Division: Actuarial/Global Non-Price Predictive Modelling
Location: Digital Working Model – primarily remote working with option of spending 2 days per week in office location, Ireland: Dublin/Cavan, Portugal: Lisbon, Spain: Madrid
Reports to: Global Non-Price Predictive Modelling

Key Tasks & Responsibilities

  • Collaborate with business partners and other team members to develop appropriate statistical approaches and tools that will drive strategic decision making.
  • Develop and implement new and/or alternative modelling methodologies and analytical solutions to complex problems central to our business.
  • Perform highly complex, technical, and creative predictive analytics projects for use by a variety of business operations and/or functional groups (e.g. Distribution, Marketing, Claims etc).
  • Understand the competitive marketplace, business issues and data challenges in the country markets to deliver actionable insights, recommendations and business processes.
  • Contribute to multiple moderate-to-highly complex projects including gathering business requirements, adhering to project timelines, and communicating project status and deliverables with customers and management.
  • Maintain and improve previously developed models, utilising the model development life cycle.
  • Identify and present findings, share actionable insights, and make recommendations that impact profitability, growth and/or customer satisfaction. 
  • Effectively communicate results in written, oral and presentation formats to management and senior leaders.
  • Provide support and learning opportunities to lesser-experienced data scientists within the team. 


  • Master’s/PhD degree in Mathematics, Computing, Statistics or another quantitative field. 
  • For non-Master’s degree candidates, Bachelor's Degree (minimum 2.1) and proven applied business / non-academic experience.

Knowledge & Experience

  • Minimum 2 years’ experience in an analytical role.
  • Experience with statistical techniques including generalized linear models, survival models, random forests, neural networks, clustering, and Bayesian approaches to data analysis.
  • Identification of relevant statistical techniques for addressing various problems.
  • Strong technical background; proficient with one language for predictive modelling and data analysis, such as R, Python or SAS.
  • Ability to identify and communicate limitations of tools and methods.
  • Experience with large analysis datasets, methodologies, and Enterprise-scale database systems.
  • Advanced analytical/problem solving and research skills.
  • Strong verbal and written communication skills, interpersonal skills, and ability to clearly and effectively communicate technical results to a non-technical business audience.
  • Proficient in predictive analytics including real-world experience in model development, validation, implementation, and testing.
  • Knowledge of insurance principles, underwriting and ratemaking concepts and the various functions of an insurance organization, including Finance, Underwriting, Sales and Claims desirable. 
  • Ability to perform high-level work both independently and collaboratively as a project team member.


  • Effective communicator with the ability to generate and present insights in a way that can be clearly understood by both technical and non-technical audiences. 
  • Able to plan own work to meet deadlines.
  • Ability to adapt to evolving techniques and changing business challenges.
  • Actively utilise data quality and data preparation best practices (documentation, GIT versioning, etc).
  • Ability to find creative solutions to problems.
  • Highly motivated to deliver consistent high performance.
  • Good interpersonal skills, works closely with other individuals / teams to achieve goals. 
  • Seeks to maximise the benefits of a team focussed organisation and supports collaboration. 
  • Able to collect, analyse and challenge technical information.
  • Distils complex quantitative and qualitative information into key facts and makes well-reasoned. recommendations to management/team members.
  • Spanish or Portuguese language skills or an interest in learning.
  • Flexibility to travel as required.

If you would like to apply for this position, please submit your CV to

Liberty Insurance is an Equal Opportunity Employer