We make Wolt even more intelligent
We empower Wolt employees to make smarter, data-informed decisions.
We champion how we use, collect, model and present data — and make the complex world of data simple for our teams.
We craft excellence
A great product makes life better for people who use it. That’s been our mindset since day one.
Our data teams
Applied Science
Applied Scientists at Wolt use algorithms like machine learning, optimization, and AI, to improve the core systems that power our delivery platform and operations across 30+ countries.
We’re embedded in cross-functional product teams and tackle business challenges — from forecasting demand and optimizing courier assignments, to predicting delivery times. We take an end-to-end role: investigating problems, building models, deploying them, and keeping them running in production.
Some examples of what our Applied Scientists build at Wolt:
Smarter logistics: How do we get items to people’s doors as fast as possible? We estimate dozens of time steps during a delivery, and optimize each one for efficiency.
Delivery ETAs: Our models produce over 57 billion delivery time estimates daily. Accuracy here has a direct impact on customer experience.
Personalization: We recommend restaurants, stores, and products to over 7 million users daily. That means accounting for context, availability, location, and user intent — in real time.
Data Science
Our Data Scientists help Wolt focus on what matters most. By partnering up with product and business teams, they guide decisions with smart, data-informed insights.
We’re big advocates of experimentation, and we measure the impact of every change we make to our product. From customer and partner behaviors to data patterns, our scientists and analysts help teams turn numbers into action.
Here’s how our Data Scientists shape decisions Wolt:
Experimentation: We run A/B tests using our in-house experimentation platform to validate what really moves the needle, as well as all other kinds of non-randomised experiments i.e. switch back, synthetic control, diff-n-diff, etc.
Problem Solving: We deep-dive into user behavior and data patterns, like identifying the key drivers of churn to improve retention. Our goal is to provide a clear solution to every problem.
Causality & Impact analysis: We help teams understand the impact of potential change through causal studies and statistical modelling. For example, what happens to order volume if we shrink a delivery radius? These insights help prioritize the most meaningful opportunities.
Analytics Engineering
We’re the team behind Wolt’s self-service analytics platform, empowering thousands of our colleagues to work with data confidently, every day.
It all starts with quality data. We transform raw data into intuitive dashboards, build clean data models, while maintaining our warehouse and metadata with care. We make it easy to find, trust, and use the information.
And because good data only works when people can use it, we invest in great documentation, training, and support across the company.
How our Analytics Engineers make Wolt more data-driven:
Build fast, user-friendly analytics experiences for all teams.
Design reliable pipelines, models, dashboards, and metrics.
Maintain high data quality and clear documentation at scale.
Create best practices, tutorials, and self-study materials.
Support teams hands-on, helping them understand and use data effectively.
How we work
Our vision — the whole city, delivered
Our vision is big — the whole city, delivered within minutes. To get there, we’re connecting three parties: our customers, courier partners and merchants. Seamlessly and in real-time. This three-sided marketplace calls for a balance that has to be just right. Our business is about constant optimisation of all these factors. And it means we need data about everything that might impact running this platform.
We need data not only about what happens in our Wolt platform but also from what happens in the real world — data about things like weather or public holidays— whatever might affect our operations. Typically the data we use comes in the form of geospatial and temporal data and we use it to dive deep into understanding our customers’, courier partners’ and merchants’ behavior to optimize our platform.
Data at scale
We operate in 30 countries and 500+ cities. Our products are used by millions of users, tens of thousands of courier partners and thousands of merchants. We have a lot of opportunities for automation to optimize our processes for the volumes.
Inside Wolt, we have thousands of colleagues actively using data in their work. We’re all about empowering our people to use data in the best possible way, at scale.
Most of our data is collected and processed in real-time. For instance, many of our use cases for machine learning require us to have real-time information about what’s going on in our platform right now.
Data is key to delivering business value
We build scalable and robust solutions, follow operational and business metrics, draw insights and offer a delightful user experience for all data end-users.
We’re all about finding the balance between business value and tech. Beyond data tooling, we focus on moving the needle to get Wolt towards our mission – and we do this by delivering business value and insights.
We work with a variety of technologies
Our data tech stack covers but isn’t limited: Python, SQL, AWS, Looker, Snowflake, Airflow, Kafka, Spark, Docker, K8s, Jenkins.
We have a dedicated stack for machine learning, where we rely on technologies like Flyte, MLflow and Seldon Core, with Kubernetes compute clusters.
Were built on ownership and empowerment
We value autonomy and ownership — we’re trusted as the experts of data to do the right thing. We’re kind and friendly, but also not afraid to question the requests we get or ideas that come up as we always prioritize based on impact.
We work closely with the teams we support — whether as embedded members or as those who empower teams to use data. We respect each other’s ideas, opinions and expertise. Together we aim high, but stay humble and help each other out.
We build beautiful products, the Wolt way
We build at scale, but stay small at heart. And together, we're building the delivery of (almost) everything.
Hear it from the team
"Being embedded in product teams, I get to learn from developers, data scientists, and product leads. It’s valuable to get different perspectives to improve my own work."
— Vera, Product Data Analyst
"I learn something new every day since we use top-notch tools, stacks, and systems. One of the best things about Wolt, is that it has excellent developers and bigger teams, so you get to see what all the other engineers do, as well as see different aspects of data."
— Valeri, Business Intelligence Analyst
"Everyone is friendly here, there is no place for big egos. When we have different opinions, we talk about them openly, discuss facts and come up with the best solution for the problem at hand."
— Juan, Applied Scientist
We get together, every year
Take a peek at Product Week — our annual event where all our colleagues from engineering, design, product management, data and security teams gather together to collaborate, mingle and have fun.
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