Senior Data Scientist (Predictive Modelling) - Ins...

Location: Madrid, Madrid provincia

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

Acerca de nuestro cliente

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.

Perfil Buscado (H/M/D)


  • 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.


  • 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

Qué ofrecemos

  • 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.

Ver más ofertas de empleo
Edurne Aguirre Zubiaurre
Indicar número de referencia para la oferta

Resumen de empleo

Sub Sector
Análisis de Datos
Technology & Telecoms
Tipo de Contracto
Nombre del consultor
Edurne Aguirre Zubiaurre
Número de referencia

*** Mention DataYoshi when applying ***

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