[NX-528] - Data Scientist (Predictive Modelling) ()

[NX-528] - Data Scientist (Predictive Modelling) ()

17 sep
Data Scientist (Predictive Modelling)

17 sep

Data Scientist (Predictive Modelling)


de la oferta de empleo

Perfil buscado (Hombre/Mujer)

- 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.

- Data Scientist (Predictive Modelling) - Insurance Company

- Multinational Insurance Company (Remote Work)


- 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


- 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

- Flexible work schedule and % 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.

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