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Data Science Intern

icon building Compagnie : Lynceus
icon briefcase Type d'emploi : Stage

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Description de l'emploi - Data Science Intern

The Lynceus Modelling team are looking for a Data Science  intern (3 months or more) to help fast-track some of our exciting new initiatives. During the internship, you will:

  • Contribute to the development, maintenance and documentation of our internal modeling tools incorporating internal and customer feedback.

  • Assist with data exploration using internal tool and third party tools to the goal of improving our modeling

  • Suggest improvements across the full product suite, advocating improvement and where appropriate own the development and deployment of new features.

  • Contribute to the general R&D initiatives of Lynceus. Be part of a team and work with your peers to grow the company and product suite.

  • Participate in model deployment, working together with our ML Engineers

  • Participate in customer meetings working with your peers to process their data and tailor our models to their needs.

  • Fluent in English, which will be our working language

  • Currently pursuing an ML-relevant degree (Bachelor or above) such as statistics, mathematics, computer science or data science

  • Solid command of Python

  • Good communication skills, particularly in communicating complex scientific information

  • Strong sense of curiosity coupled with technical excellence

  • Team-work spirit and autonomy

  • Git knowledge

  • Past track record of delivering technical research is a big plus

  • Past experience of ML production is a big plus

Join us in our journey of growth and receive:

  • Mentorship & Guidance from our Machine Learning team

  • A laptop of your choice

  • Opportunity to join a growing startup and be a key success factor

  • Meals & transportation refund

  • We are owners: We get involved, understand the impacts we make and deliver what we commit to.

  • We are bias for action: We take actions with a goal in mind and act fast

  • We believe there’s always something to learn: We are not afraid of asking questions and learning from different people all the time

  • We collaborate and communicate: We understand that team work is key and the team's success is also my success

  • We support and respect each other: We support both external and internal stakeholders needs and respect differences we all have

  • We stand by our values and walk the talk: We stand by our values to make sure that our culture is strong despite being remote-first

  • Screening call with the People & Culture Team

  • Technical take home assessment

  • Technical Discussion with DS in Modeling Team

  • Behavioural Interview  with DS in Modeling Team

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