Data Science Internship
il y a 5 jours
E-commerce is booming — but independent brands still struggle to match the seamless logistics of giants like Amazon. At Bigblue, we're on a mission to change that. We help brands by democratizing best-in-class operations: scaling faster while delivering a five-star customer experience. Since 2018, we've built a tech-driven logistics platform powering 500+ brands — from fast-growing DTC players to global names like MUJI, Aigle, and Cabaïa. With 110+ employees across Paris, Madrid, and London, our proprietary WMS (Warehouse Management System) Atlas, and a network of 7 warehouses across Europe, we're solving logistics challenges that others haven't dared to tackle — making fulfillment faster, smarter, and greener. Backed by $20+M in funding and trusted by the next generation of e-commerce leaders, we're scaling rapidly — from 10 million orders in 2024 toward ambitious enterprise expansion. The journey ahead is bold, and we're looking for the right partner to help us lead the way.
What data means for Bigblue At Bigblue, our warehouses generate the data that drives every decision. Every item moved, picked, or shipped creates real-time insights into how our operations work and where improvements can be made. As our network grows across Europe, these data challenges become even more exciting: optimizing storage, shorten operator routes, and improving overall warehouse productivity.
Missions As a Data Science Intern, you'll help us make warehouses smarter and more efficient by developing optimization algorithms that directly impact daily operations. Your main focus will be the order batching problem — deciding how to group customer orders so operators can pick items faster while minimizing walking distance. You'll design and test intelligent batching algorithms that must handle operational constraints, like order characteristics (weight, volume) and priorities (express vs standard), all while running in real time at scale. During your internship, you will: Explore and benchmark optimization methods Build and test algorithmic solutions using real warehouse data Evaluate their impact on key metrics such as picking time and walking distance By transforming complex research problems into practical solutions, you'll play a key role in boosting warehouse productivity — enabling faster deliveries, lower costs, and smoother operations for hundreds of brands. Requirements - Must haves
- Strong interest in solving business-critical problems
- Proficiency in Python
- Solid foundations in Operational Research
- Proficiency in SQL
- Good communication skills with diverse audiences (e.g. ops teams)
- [30min] Tech recruiter phone screen
- [1h] Live data problem-solving case study with a Data Scientist
- [30min] Meet with Veltin - Head of Data
- Offer
High impact role: Be at the center of our growth journey and help shape the team that will power Bigblue's future. Founders-led company with an innovative, caring culture. Fast-growing scale-up: Join a well-funded, early-stage company where your work will have immediate and visible results. International environment: Work across Paris, Madrid, London, and our European warehouse network. Brand-new offices in the heart of Paris' 9th arrondissement (biggest tech hub). 10€ meal voucher per worked day (55% paid by Bigblue) + unlimited free snacks at the office. ClassPass membership for fitness & wellness. MacBook Regardless of sex, gender identity, sexual orientation, race, color, religion, origin, disability, age… At Bigblue, we create equal opportunities for all and make our culture as inclusive as possible. Because we believe that challenging assumptions and embracing diversity in experiences and backgrounds is what makes us stronger. Because what we value first and foremost are curiosity and growth-driven minds. So, regardless of who you are and how many "boxes" you tick on the job description, if you have the energy and passion to help shape Bigblue's entrepreneurial adventure, APPLY.
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