DATA SCIENTIST - Risk Hub
BNP Paribas Real Estate
Madrid, Community of Madrid, Spain
hace 2 días

Responsibilities

You will define the relevant technical approach in order to solve large-scale practical problems relating to the use of machine learning, deep learning, NLP.

You will leverage the latest academic developments and contribute to the development and evaluation of these solutions (methodologies and algorithms).

You will work the diversity and scale of data that only a large, international and diversified banking group can offer.

You will develop best practices in artificial intelligence that promote the appropriation of current data science technologies, particularly on topics such as explicability and bias measurement.

You will evolve within a start-up mode within a dedicated, data-driven environment.

Beyond projects, Data Scientists are expected to share their expertise at multiple levels : within the team though technical sharing sessions and beyond as well during our regular open discussion sessions on AI.

Essential

  • Expertise : data science modelling + strong computer skills to be an effective data scientist, particularly in terms of languages (Python mainly), and knowledge of the standard librairies (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow, Keras), data visualisation technology (PowerBi, Table) and database (relational, NosQL).
  • Education :

    Bachelor or Master Degree in AI, Data Science or Statistics or related field.

    Experience :

    at least 2-year experience as data scientist in an agile, innovation-oriented team.

    In particular, experience translating customer needs into data science solutions, experience developing models to address customer needs, experience deploying model into production and providing support and explanations to end-users.

  • Languages : Fluent in English. Spanish and / or French a plus
  • Personal profile : Strong analytical / problem solving skills. Capacity to work in project mode. Rigorous and curious.
  • Resourceful. Client-oriented.

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