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

Company:
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.

Descripción

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)

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

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
JN-082021-3564230

Resumen de empleo

Sector
Tecnología
Sub Sector
Análisis de Datos
Industria
Technology & Telecoms
Localización
Madrid
Tipo de Contracto
Permanent
Nombre del consultor
Edurne Aguirre Zubiaurre
Número de referencia
JN-082021-3564230

*** Mention DataYoshi when applying ***

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