Data Scientist (Predictive Modelling) - Insurance ...

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Descripción

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
• Spanish or Portuguese language skills or an interest in learning
• Flexibility to travel as required

• A secure work environment because your health, safety and wellbeing is always our top priority.
• Flexible work schedule and 100% Home-office options, so that you can balance your working life and private life.
• Learning and development opportunities.
• A collaborative, trustful and innovative work environment.
• Being part of an international team and work in global projects.