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Senior Data Scientist en Barcelona

Zurich Insurance Company

Descripción del empleo

Our opportunity

You will join the Data Scienceand Advanced Analytics (DSAA) Team, part of Enterprise Data Analytics &Architecture (EDAA) within Group Operations (GO). The DSAA team consists of datascientists who are passionate about the solutions that we build and the impactthat we have in transforming and enabling Zurich as a data-driven organization.Our team is responsible for delivering cutting edge data science solutions,services and environments to internal customers; Business Units and GroupFunctions alike, giving you the opportunity to have a global impact. 

In therole of Data Scientist, you will join a dynamic and agile team providingservices, including designing, developing and maintaining systems in support ofdata science and advanced analytics processes.

Your role

As a Senior Data Scientistyour main responsibilities will involve

  • Analytical acumen: Designing, developing, testing and maintainingapplications for data science & advanced analytics processes; including applieddata science techniques; Deep/Machine Learning, NLP (text or voice) andComputer Vision

  • Critical thinking and problem-solving: You leverage data to develop predictive modelsand algorithms and work with business stakeholders to craft and defend actionablesolutions to real-world business challenges

  • Communicating: You have strong written; verbal and presentation communication skillsand you excel at telling stories with data to audiences of all types

  • Being self-driven: You show ability to deliver on ambiguousprojects with incomplete or dirty data. You push yourself to exceed goals byrecognizing what needs to be done, identifying an approach, communicating andprioritizing accordingly. You are results and solution oriented.

  • Technical acumen: You are comfortable working in and have anadvanced knowledge & high degree of competence with a range of programminglanguages (you should eat and sleep Python; R / SQL are nice to have too) /technologies combined with a desire and aptitude to broaden that experience.You also are comfortable with Agile & DevOps practices.

  • Teamwork: You are ready to become a key part of an agile,fast-paced, collaborative and production-oriented team.
  • Your Skills and Experience

    As a Senior DataScientist your skills and qualifications will ideally include:

  • University level education,e.g. Computer Science, Computer Engineering, or Engineering Discipline

    Desired: PhD or Master’sdegree (or equivalent) in a relevant technical field such as computer science,statistics, machine learning or mathematics.

  • 5 years relevant industryexperience as an applied Data Scientist or Data Engineer in an advancedanalytics / data science environment

    Preferred: Insuranceknowledge and experience.

  • Extensive experienceapplying advance analytics / machine learning to design, develop, implement anddeploy data-driven products

  • Proven track record of programmingskills:

    Required: Python, R, SQL

    Desired: Scala, Spark

  • Experience with Agilemethodologies & DevOps practices

  • Experience working in cloudenvironments is a plus, especially Azure

  • Ability to work effectivelyin a global organization, even when under time pressure

  • Fluent in English (spoken and written)
  • Additional Information

    Primary work location isBarcelona. This position might require occasional travelling. You can apply byclicking on the button “Apply online”

    Who we are At Zurich we highly value the experience and know-how of our employees. The responsibility for your professional development lies in your hands and we support your need for progression and change by offering a wide range of opportunities across all business areas.

    Información extra

    Status
    Activa
    Estudios requeridos
    Otros
    Localización
    Barcelona
    Horas a la semana
    8 - 40
    Tipo de contrato
    Tiempo completo
    Publicado el
    16-03-2021
    Tipo de trabajo
    Marketing / Publicidad
    Carnet de conducir
    No
    Vehículo
    No
    Carta de motivación
    No
    Idiomas
    Portugués

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