🤩 Overview

Data Scientist intern focused on forecasting stock reliability and demand to improve offer quality and supplier guidance.

You will turn messy, high‑volume operational data into actionable predictions and clear insights that directly impact business decisions.

• Core work: build prototypes to estimate out‑of‑stock odds n days ahead and model stock level distributions per partner/item

• Stack: Python, pandas, scikit‑learn, SQL, notebooks, data visualization

• Ways of working: fast iterations, rigorous validation, crisp communication of findings to non‑data partners

• What success looks like: measurable lift on prediction accuracy and decision quality in sourcing/pricing workflows

Ideal expérience: top engineering school students at the end of their studies, but we also welcome any exceptional professional with the talent and drive to thrive at Stockly.

🔎 In a nutshell, what are we looking for?

We are looking for a smart and talented end of studies intern to join our amazing Engine team.

Position

Accurate predictions of reliability of stock information are critical for Stockly to make informed decisions about the offers we can make, in order to be the most reliable partner for our e-commerce network. As a pioneer on the Data Science topic at Stockly (and potentially other ML topics in the future), your work would have a direct and tangible impact on the success of the company.

To tackle our cross team challenges, you are a candidate willing to actively participate to the company development. In our growing team, everyone is key including you as you will be working on the frontier of several domains.

Everytime you will face recurring tasks or pain points, you will be in charge of finding and implementing solution to tackle this and help the company and team move to next the stage.

Missions

As a Data Science intern at Stockly, you will work on concrete forecasting and data analysis challenges to improve the quality of our offers and guide our suppliers.

Stock reliability prediction

You will develop models to estimate the probability that an item will be out of stock in the next n days, based on the partner and item. This work involves:

• 📊 Data analysis – Explore and understand operational data to identify relevant variables for reliability prediction.

• 🤖 Modeling – Build and validate predictive model prototypes with appropriate metrics.

• 📈 Visualization – Create clear visualizations and probability distributions of stock levels to facilitate decision-making.

These predictions are critical for Stockly to make informed decisions about which offers to make and to be the most reliable partner possible for its demander network.

Demand prediction and sales analysis

You will also work on predicting sales from stock information, making it possible to identify the most sought-after items and give our suppliers visibility on where to focus their efforts.

On a daily basis, you will handle large and complex datasets, using Python, pandas, scikit-learn, SQL, and visualization tools. You will work in fast iterations with rigorous validation and will need to clearly communicate your findings to non-technical teams.

Challenges

By joining a fast-growing startup in an international market, you will face three main challenges:

• Data complexity: e-commerce data is rich but messy, with multiple interconnected sources and systems.

• Volume: Stockly manages tens of millions of items and millions of daily updates, requiring scalable solutions.

• Business impact: your models will have a direct and measurable impact on sourcing and pricing decisions and our partners’ satisfaction.

💝 Your future environment

• Competitive packages: We have a well defined and objective salary grid that is based on both skills level and scarcity of profiles 💸

• 50% reimbursement of your Navigo Pass 🚋

• A central and amazing working environment in le Sentier (very center of Paris) 💼

• Stockly dinners every Thursday 🍻 and Stockly breakfasts every Friday 🥐

• Coffee, tea and fruits at the office everyday 🍇

• Climbing, football & more 🧗

💡 Your Internship at Stockly

• 6-month internship:

  • 2 weeks onboarding & ramp-up : an intense and structured program including the Rust Book, Stockly’s technical documentation, and peer programming

  • 11 weeks of technical ramp-up with isolated tickets (increasingly technical, focused on writing solid code, with limited business requirements)

  • 13 weeks working on more complex projects and advanced topics

• 📈 Our Objective
  We design the internship so you can grow and become strong, every step is designed to sharpen your skills, from writing clean code to tackling complex technical challenges.. Our goal is that your internship becomes the first step of your career at Stockly. In Stockly’s demanding startup environment, you’ll learn fast, take on real challenges, and leave much stronger than you arrived.

⚙️ How we work

• Every team has a daily meeting to align on priorities and solve issues ⇒ You won’t be left alone!

• Every Monday we have a global weekly meeting where every team shares what they are working on and what they will do for the coming week ⇒ You will have visibility on the whole company!

• Every quarter we have our OKR meeting (Objectives, Key Results) where each team shows the results of the previous quarter and the objectives of the following one ⇒ You will see the company grow and your own role inside of it!

• During all these meetings everyone can challenge each other and all questions are more than welcome ⇒ Transparency is one of our key values, and we are always open to new ideas!

You see yourself in the following:

• You are a smart & quick learner

• You love learning from others and humbly sharing knowledge with them

• You are hard working and have a hands on mindset

• You are ready to do the extra mile to learn and use the state of the art technologies

• You are autonomous

• You are well-organized & efficient

• You pay attention to details

• You can speak English

• You love math and logic

• You come from a top engineering school

If you want to work with an ambitious team who wants to become #1 in the market in a fast paced environment, this is the place for you!🚀

💡 Want to know more about what it’s like to join Stockly? Take a look at our Candidate Guide — it covers our story, team, and full recruitment process: stockly.ai/candidate-guide

🏎️ Our process goes fast, we are reactive and we adapt to your availabilities, we can typically go through the whole process in 2 weeks:

1. 45min JS, Python or Rust entry-test to be sent by email - You will have some time to do it at home

2. 20min video-call with a member of our Talent Acquisition team - To understand your background and motivations, and reply to your questions

3. 1-hour face to face (or remote) interview with our CTO Oscar - To have a deeper discussion

4. 🎉 Final offer 🎉

🏡 Part of the process can be done remotely if you have constraints