Overview
We are looking for a Data Scientist II to work remotely but based in Spain.
Job summary
This role is responsible for developing a wide variety of predictive models and analytical tools that will enable the GRM Western European Market (WEM) to achieve their profitability and growth goals in Actuarial – Global Non-Price Predictive Modelling team. The role will include applying sophisticated predictive modelling and analytical analysis to a broad range of business problems and communicating the results of their work to team members/stakeholders. The role will provide highly technical analytical assessments of business issues to a mixture of technical and non-technical audiences across the organisation to enable data-driven strategic decision-making.
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.
Company:
Liberty Seguros España
Qualifications:
Qualifications
• 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.
Competencies
• 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.
Language requirements:
• Spanish Strong English& Spanish language skills (verbal and written) required.
Educational level:
Master Degree
Level of experience (years):
Mid Career (2+ years of experience)
