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.
* 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.
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
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