Senior Data Scientist (Predictive Modelling) Insurance Company

• Senior Data Scientist (Predictive Modelling) - Insurance Company|Multinational Insurance Company (Remote Work)

Multinational Insurance Company: The role will include applying sophisticated predictive modelling and analytical analysis to a broad range of business problems; communicating the results of their work to stakeholders; and providing guidance and peer oversight to other team members and modelling groups. 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.


• Research, recommend, develop and implement new and/or alternative modelling methodologies and analytical solutions to complex problems central to our business.


• Perform 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.


• Manage and contribute to multiple moderate-to-highly complex projects including gathering business requirements, developing project goals and requirements, coordinating project timelines, and communicating project status and deliverables with customers and management.


• 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 stakeholders.


• Provide mentorship, guidance, technical support, and training to data scientists across the team.

• 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.

Qualifications

• Master's/PhD degree in Mathematics, Computing, Statistics or another quantitative field.


• For non-Masters' Degree candidates, Bachelor's Degree (minimum 2.1) and proven applied business / non-academic experience.

Knowledge & Experience

• Ideally 4-5 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 at least one language for predictive modelling and data analysis, such as R, Python or SAS.


• Experience with large analysis datasets, methodologies, and Enterprise-scale database systems.


• Advanced analytical/problem solving and research skills.


• Ability to identify and communicate limitations of tools and methods.


• Proficient in predictive analytics including real-world experience in model development, validation, implementation, and testing.


• Strong verbal and written communication skills, interpersonal skills, and ability to clearly and effectively communicate technical results to a non-technical business audience.


• 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 or leader.

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 and work of junior project members 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 and senior leaders


• English and Spanish language skills


• Flexibility to travel as required