Launched in 2013, ManoMano is the European leader specializing in DIY, home improvement and gardening online. ManoMano brings together the largest offer of DIY & gardening online products. With more than 3600 seller partners, 10 million products, 7M active customers and 50M unique visitors per month, ManoMano is a disruptor of online home improvement, DIY and gardening across 6 countries : France, Belgium, Spain, Italy, Germany, United Kingdom.

ManoMano was valued at $2.6 billion and reached Unicorn status in July 2021 after $725 million raised 8 years after its creation.

We currently have more than 500 Manas & Manos, including a quarter of international talents and 24 nationalities, working in our 3 offices (Paris, Bordeaux and Barcelona).

Our vision, as a responsible European B2C and B2B industry leader online, is to offer a unique value proposition on our HI markets, beyond product to services, to be an A Brand. Our ManoMano way of life, within business hypergrowth, is to always keep the human dimension at its right place. Empowering people to responsibly make their own kind of world is our mission.

OUR COMPANY CULTURE 💙

People are at the heart of ManoMano’s culture around our 3 core values : boldness, ingenuity and care.

TEAM AND CONTEXT 📃

Be challenged at ManoMano !

The Machine Learning team is an applied ML team of 14 people with a focus on delivery. We’re outcome-oriented: we solve high-impact business problems and deliver value to our users in production.

We are seeking a Data Science intern to be part of a team of best-in-class ML practitioners focused on operations (eg: delivery time estimation, efficient warehouse management via sales forecasts) and the quality of our catalog (e.g., product categorization or product attribute extraction).

You’ll be joining a team of top-tier Data Scientists with some of the strongest modeling skills in the French Tech Next40.

The ML team was instrumental in the growth of ManoMano from the very beginning and is now fully committed to building ML data products on our marketplace. This is the opportunity to contribute to one of Europe’s highest-valued unicorn companies and tap into one of the largest e-commerce data sets in the world to build the algorithms that power our internal and external products.

We have several internship roles open. Internships’ begin date: May 2024. The internship duration would be 6 months.

YOUR RESPONSIBILITIES 💪

- Apply machine learning algorithms and statistical techniques to build new ML. product features, creating new and improving internal and external-facing data products.

- Write production model code and implement algorithms in production.

- Perform exploratory data analysis to gain a deeper understanding of the problem.

- Investigate and fix production issues from a data science product your team owns.

- Partner with software engineers, product managers, and business stakeholders to frame problems, both mathematically and within the business context.

MUST HAVE🔥🔥

User-focused. 

Ongoing or finished Bachelor or Master’s Degree in a quantitative discipline (e.g. Statistics, Operations Research, Computer Science) or equivalent practical experience. 

Solid knowledge of Machine Learning theory, statistics, and probabilities. 

Strong coding experience in Python and proficiency in SQL. You care about code simplicity and performance. 

Proficient oral and written communication skills in English. French is not required. 

Growth mindset: love learning and seek challenges.

BENEFITS & PERKS 🏡

• Remote option (max 2 days by weeks)
• Flexible working hours
• Health care coverage
• Paid volunteer time
• Meal Voucher : Swile Card
• Ticket transportation
• MM employee discount
• Take care of your mental health with our dedicated partner with moka.care
• Sports: free gym in Paris

HOW OUR STORY TOGETHER STARTS 🤩

- Online technical test (1h15)

- Phone / Zoom interview with a Lead Data Scientist

- An interview with an internship mentor and a Lead Data Scientist

At ManoMano we are dedicated to building an inclusive and diverse workforce where each individual can grow.

We respect and value the richness of varied cultures, perspectives, skills and experiences within our teams which is why we are looking for talented people from all backgrounds.

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