Data Scientist 🇬🇧

  • CDI 
  • TĂ©lĂ©travail total possible
  • Bac +5 / Master
  • > 3 ans

La tribu



    Le poste

    Data Scientist 🇬🇧

    • CDI 
    • TĂ©lĂ©travail total possible
    • Bac +5 / Master
    • > 3 ans

    À propos

    Pennylane is the all-in-one financial and accounting platform for business owners and their accountants.

    A single source of truth for financial data, used on one side by entrepreneurs to run their business (invoicing and getting paid, paying suppliers and expense management, piloting cash and profitability) and on the other side by their accountant for bookkeeping and tax declarations.

    Saving time to all entrepreneurs and accountants, helping them to make the right decisions and enabling 3rd parties to offer added-value personalized financial services.

    We’re product-led, growing fast, backed by strong investors and are starting to hire software engineers and data practitioners anywhere in Europe, to join our experienced remote-first tech team.

    Descriptif du poste

    🎯 Your mission

    In short: designing and deploying advanced machine learning products to power Pennylane and make it the best financial OS in the market.

    In more details:

    • You will design machine learning products across their entire lifecycle, from exploration and formulation to modeling and evaluating, all the way to deploying and monitoring them
    • You will apply robust statistical methods to draw meaningful insights from complex data and evaluate the impact the team’s solutions objectively
    • You will build reusable and extensible solutions, and contribute to the evolution of our cloud-based ML and data ecosystem
    • You will work hand in hand with data engineers, analysts, software engineers and product managers, and promote a data-driven culture where data is seen as a production system

    🏠 Offices

    The company is based in Paris, and most of the Tech & Data team works remotely. So you are free to work from wherever you want in Europe.

    ✹ What’s exciting about our project ?

    • The vision: we want to change the life of thousands of entrepreneurs throughout Europe with our solution
    • The ambition: we are scaling at a very rapid pace and we want to become a leader in fintech within 2 to 3 years
    • The learning curve: we have a very experienced Tech & Data team whom you can share with and learn from everydayThe ownership: we are a product-led company with decentralized decision-making and strong ownership within each Product Squad
    • The environment: we do our best to develop a culture based on trust, autonomy, and benevolence so you can feel like you’re in the right place

 with bonus points if

    • You have deployed projects in a cloud environment
    • Python has no secrets for you

    🎁 What we offer

    • A competitive package + company shares
    • Great health benefits
    • Apple Hardware
    • Possibility to work remotely
    • Budget to work from a coworking space or buy equipment to work from home
    • A modern, cloud based stack
    • Monthly tech events, and one offsite with the whole company once a year
    • Career tracks to make sure you can keep learning and growing within Pennylane

    Profil recherché

    đŸ„‡ You’re the right candidate if

    • You have a solid and varied experience (> 3 years) in designing machine learning approaches (supervised, unsupervised, self-supervised, online and offline, etc)
    • In particular, you have experience in Natural Language Processing such as information extraction and retrieval, word embedding, topic modeling
    • You have experience implementing and rolling out machine learning solutions in a production environment
    • You have experience working with distributed data frameworks such as Spark
    • You have worked closely with data users on solving concrete business problems
    • You are pragmatic, autonomous and know when to leverage open source or proprietary solutions, and when to build new ones, based on needs

    DĂ©roulement des entretiens

    đŸ€ Hiring process

    • A first interview with our Talent Acquisition Manager
    • A first call with the data team to get to know you and answer your questions
    • A past project interview to hear about your experience
    • A case study interview to cover a topic closely related to one of our priorities
    • An interview with our Tech & Product founders to discuss our company culture

    DĂ©couvrez l'Ă©quipe

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