Data Scientist

FECHA.
LUGAR.
Madrid
FUNCIONES.
They will work closely with experienced Actuaries, Senior Analysts and Data Scientists in a collaborative and challenging environment to assist in making recommendations to support key business objectives. They will provide data analysis, predictive modelling and advanced analytics services to key functions across the organisation
HORARIO.
Corporativo

REQUISITOS.

QUALIFICATIONS

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

For non-Masters’ Degree candidates, Bachelor's Degree and proven applied business / non-academic experience.

KNOWLEDGE AND EXPERIENCE

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

Exposure to numerical optimisation algorithms and concepts such as gradient descent, simulated annealing, convex optimisation.

Identification of relevant statistical techniques for addressing various problems.

Previous use of various analytical methodologies, e.g. Random Forest, Neural Networks, K-means clustering, etc. in a business or academic environment.

Knowledge of big data concepts, strategies, and methodologies.

Knowledge or exposure to using machine learning and big data products within Amazon Web Service (AWS) is highly desirable.

Interpretation of results mathematically and strategically.

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

Ability to identify and communicate limitations of tools and methods.

Knowledge of data sources, tools and business drivers in insurance industry.

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

Proficiency in English and Portuguese language skills or an interest in learning.

Flexibility to travel as required.

FUNCIONES

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.

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

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 peers and manager.

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 mad.rrhh@libertyseguros.es con la siguiente información:

  • Adjunta tu currículum completo y actualizado.

SE OFRECE.

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

TIPO DE CONTRATO.

Contrato indefinido. Beneficios Sociales

JORNADA LABORAL.

Jornada laboral completa

5 razones para uniros a nuestro grupo
5 razones para uniros a nuestro grupo

¿Porqué trabajar en Liberty Seguros? Te explicamos todo lo que te puede aportar nuestra empresa profesionalmente.

Ver más

Vida en Liberty

Vida en Liberty

-->