Data Scientist

As Liberty Spain continues to invest in its analytical capability this Data Scientist role will leverage our Pricing team in Madrid as well as the large Data Scientist community in our US business and the new teams in WEM (Ireland, Portugal & Spain) to develop their own skills and to deploy best practice approaches to data management and advanced analytics.



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

Ideally 1 years’ experience in an analytical role.

Experience / understanding of using statistical techniques e.g. regression analysis, cluster analysis and optimisation.

Identification of relevant statistical techniques for addressing various problems.

Interpretation of results mathematically and strategically.

Strong technical background; comfortable with programming and / or use of statistical software packages (R, SAS, Emblem) and Excel.

Ability to identify and communicate limitations of tools and methods.

Knowledge of data sources, tools and business drivers.

Understanding of the insurance industry, including external influences and internal functions.


High English level


Deliver accurate and timely Pricing analysis to assist business decision making, financial planning, and strategy development.

Apply sophisticated, cutting-edge statistical techniques to very large data sets in the course of predictive modelling and various analytical projects. Examples of the techniques include Decision Trees, Clustering, GLM, Boosting, Neural Networks, Text based analytics.

Build complex tools and analytical models for use by business operations and/or functional groups (e.g. Pricing, Underwriting, Marketing, Claims etc.).

Produce meaningful observations and recommendations through synthesizing data from internal and external sources. (E.g. economic, weather, customer sat, social media activity, etc.).

Present findings / recommendations to management.

Carry out predictive modelling and other analyses to solve business problems.

Perform data preparation steps, including extraction of target data from multiple databases, integration of multiple datasets, and creation of derived variables, application of business rules, and quality control checks.

Collaborate with other advanced analytics staff to share best practices in predictive modelling and build the advanced analytics community.

Si esta es la oportunidad que estabas esperando, envíar un correo al Área de Talento con la siguiente información:

  • Adjunta tu currículum completo y actualizado.


Posibilidad de desarrollarte en una Multinacional con sólida posición en el mercado Nacional galardonada con el Best Place to Work 2015, 2016 y 2017.


Contrato indefinido. Beneficios Sociales


Jornada laboral completa

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