We - Cafeyn Group

With 15 years of existence, Cafeyn Group is a multi-brand company composed of Cafeyn, Blendle, MiLibris and KidJo and based in France, Netherlands, UK, Canada and Morocco. With almost 140 employees, we propose a media experience through different products.

We want to achieve strong business performance across the Cafeyn Group through organic growth, diversified revenue streams and sustainable profitability. New opportunities are continuously sought by investment both within and outside of the business.

We deliver high-value, high-focus and forward-thinking, premium infotainment (information & entertainment content) services to our partners and customers, with personalised and relevant information to entertain and educate our audience, broadening their perspective and making them more knowledgeable.

Role & Responsibilities

Cafeyn offers users the possibility to explore and consume content from more than a thousand publications, both in traditional print and digital media. Data Science lies at the heart of the product by supporting users to navigate the overabundance of content. The focus of Machine Learning is on understanding content, understanding users and their behaviour, and recommending relevant content at the right time.

Your missions:

The internship is aimed at researching innovative ways to deal with textual content. The concrete assignment depends on the skills and interest of the applicant, but could include a study on:

- using snippets from articles to answer a natural language query and implement a PoC RAG.

- how different ways of presenting subject matter in articles affect consumption and appreciation

- how facts and viewpoints in articles can be used to educate consumers

In addition the activities include being part of, and collaborating with, the internal Data Science team and getting hands-on Data Science experience in the leading digital kiosk in Europe.

Requirements

• Background: Student in their final year of Master's degree from an engineering school or a University degree in data science / ML / statistics related fields

• Non-technical skills

  • Proficient in English

  • Main soft skills

    • Critical thinking

    • Communication skills

    • Problem solving skills

  • Willingness to try out, play, and experiment with new ML techniques, particular emerging LLM techniques

  • Identifying new and innovative ideas and testing state-of-the-art methods from scratch based on recent research articles or technical publications

• Technical skills

  • Comfortable using Python and being comfortable using popular Data Science libraries (Pandas, Numpy, Scikit-Learn, …)

• Period: 6 months or the required duration of the MSc internship

• Location: Paris, at least 3 days/week at the office