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Data Scientist 🇬🇧

Permanent contract
Paris
Salary: Not specified
Fully-remote
Experience: > 3 years
Education: Master's Degree

Pennylane
Pennylane

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The position

Job description

🎯 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

Preferred experience

🥇 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

Recruitment process

🤝 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

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