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Pauline B.PB

Pauline B.

big data & artificial intelligence project manager

€700/day
1 project
Paris, FR
8-15 years

Average response time: 1 hour

About Pauline

Voilà 7 ans que je travaille dans la data, et plus particulièrement 3 ans sur les projets Big data & IA, j'ai participé à la construction de la direction Big data & IA d'une entreprise d'assurance.

Data lover, j'ai une double expertise en data science :
- Gestion de projet (j'ai été coaché par mon manager, ancien consultant Deloitte et diplômé d'une école de commerce)
- Management (coaching, recrutement et gestion de carrières des data scientists)


#ResultOriented #BusinessOriented #IndustrialEnvirnoment #teamLeader #coaching
  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Allianz
    Big data & IA program leader / Lead data scientist
    BANKING AND INSURANCE
    January 2018 - Today (8 years and 5 months)
    Paris, France
    As a data science & IA program leader :
    - Define program's roadmap and develop a program strategy
    - Promote program into Allianz (roadshow)
    - Lead a squad of 10 persons (big data project managers, IT project managers, data scientists and data engineers)
    - Focus the team on delivery of program : ensure cost, quality and timing objectives are defined and achieved
    - Identify, manage and resolve issues, and risks including mitigation plans
    - Organize steering committee to review progress, risks, and opportunities
    - Insure agile rituals including : stand-ups, sprint planning, sprint refinement, sprint demos and retrospectives with squad team

    As a lead data scientist :
    - Animation of the community of data scientists and data engineers (we benchmark technologies, methodologies, share knowledge, and define processes)
    - Recruitment of data scientists
  • Allianz
    Lead Data scientist
    BANKING AND INSURANCE
    January 2017 - December 2017 (1 year)
    Paris, France
    - Coaching data scientists (backlog refinement, coordinating, prioritizing subjects, supervising activities, ensuring implementation, code reviewing...)
    - Defining and sharing data science standards to ensure homogeneity within the community (holding regular technical meetings, writing processes…)
    - Validating the scientific approach of choices and implementation of techniques and tools
    - Ensuring coordination between data scientists and project managers, understanding operational needs and formalizing them into analytical problems
    - Supporting the definition of projects (scope, planning, cost ...) on the data science dimension
  • Allianz
    Data scientist & project manager
    BANKING AND INSURANCE
    July 2015 - December 2016 (1 year and 6 months)
    Paris, France

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Education

  • Ingénieur statistique - spécialisation Marketing
    Ensai
    2011
  • Certification data scientist
    Ensae
    2016

Skill set (15)

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