Associate scientist Jobs in Berlin

Position: Data Scientist
Department: Estimations
Reporting to: Data Science Manager
Location: Berlin
Hybrid role: 3 days a week from our London office & 2 days working from home
Full/Part time: Full time

Ready for a challenge?

Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role

As a Data Scientist on the Estimations team, you will help build the predictive engine that powers our global delivery network — developing the machine learning models that predict Estimated Time of Arrivals (ETAs), considering factors like courier-finding, drive times, preparation times, rejections, and delays. Your mission is to apply practical knowledge to build, validate, and maintain ML models that predict logistics outcomes with accuracy and reliability. You will collaborate closely with Senior Data Scientists, Backend Engineers, and Machine Learning Engineers, transforming stakeholder needs into actionable methodologies. As a developing professional, you will work independently with general supervision while actively seeking guidance to grow your technical and stakeholder skills.

These are some of the key components to the role:

• Model Development & Assessment: Lead well-defined assignments to develop and maintain machine learning models (regression, classification, clustering). Run predictive analyses and perform validation and enhancement activities to improve ETA accuracy.
• Data Analysis & Engineering: Use SQL and Python to acquire, transform, and clean large-scale data sets. Apply appropriate techniques for outliers, missing values, and exploratory data analysis to create data structures relevant to logistics problems.
• Production Standards: Apply engineering practices to your work — intermediate-level source code, unit tests, version control. Be mindful of production environment rules and help monitor predictive performance of models.
• Process Improvement: Identify opportunities to automate or improve existing processes; recommend solutions based on established best practices.Actionable Insights: Translate analytics output into clear, actionable insights for decision-making. Assist in presenting these to stakeholders in easy-to-understand language, using data visualisation where appropriate.
• Cross-functional Collaboration: Work closely with Backend and ML Engineers; participate in cross-functional projects, building business acumen and domain knowledge from collaborating colleagues.
• Problem Solving: Solve problems independently and propose solutions to complex logistics problems. Suggest project timelines and help set expectations for deliverables.

What will you bring to the team?

• Practical, hands-on experience building and validating ML models — comfortable working independently under general supervision, while knowing when to seek guidance from more senior colleagues.Familiarity with statistical and machine learning techniques (classification, regression, clustering, decision trees) and how to select the right one for a given problem.
• Intermediate-to-advanced proficiency in Python (pandas, scikit-learn) and SQL; familiarity with industry style guides such as PEP 8.
• Ability to perform data cleaning (de-duplication, standardisation) and exploratory data analysis; awareness of data security, compliance, and quality assessment.
• Familiarity with version control (Git), testing, and basic data pipelines.
• A strong interest in logistics is a plus.

At JET, this is how we play

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side.

At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.

Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.

Inclusion, Diversity & Belonging

What else are we delivering?