Job Description

About the job

You will join a growing AI team of 10 colleagues with a core mission to turn data and AI into measurable business value.

Your primary role will be to build, improve, and productionize forecasting models that support business-critical decisions across Flatpay and our merchants. A key focus will be revenue forecasting across 100,000+ merchants, where forecasting plays an important role in areas such as shift planning, table booking optimization, and operational decision-making for merchants.

This role is a good fit for someone who enjoys working with real-world time series problems, cares about production-quality machine learning, and wants to build models and product features that are used directly in business and product workflows.

What you'll do

• Build, improve, and maintain production-grade time series forecasting models using Python, LightGBM, XGBoost, MLflow, and Databricks.
• Work on revenue forecasting for 100,000+ merchants across different markets, merchant types, and business patterns.
• Develop product features on top of forecasting models that support merchant-facing optimization use cases such as shift planning and table booking.
• Assist with and run other time series projects across areas such as churn prediction, TPV forecasting, upsell opportunities, and more.
• Design robust feature pipelines, model training workflows, evaluation frameworks, and monitoring approaches for forecasting models in production.
• Collaborate closely with data engineers to ensure models are built on reliable, scalable, and well-structured data foundations.
• Work with business stakeholders, product teams, and commercial teams to understand forecasting needs and turn them into practical data science solutions.

Who you are

• You have 3+ years of industry experience in data science, machine learning, applied statistics, or a similar technical role.
• You have hands-on experience with building and maintaining time series forecasting in production.
• You are comfortable building models using Python and libraries such as LightGBM, XGBoost, NumPy, and scikit-learn.
• You have experience with model tracking, experiment management, and production workflows using tools such as MLflow.
• You are comfortable working in Databricks or similar cloud-based data platforms.
• You have strong PySpark, Pandas and SQL skills and are comfortable working with large, structured datasets.
• You have experience with extracting structured features from unstructured data using LLMs and integrating that into productionized forecasting.
• Through experience you have a refined intuition when to do exotic feature engineering and none-stand modelling approaches - and when its best to stick to the fundamentals.
• You understand how to evaluate forecasting models using relevant metrics, backtesting, validation strategies, and business-oriented performance measures.
• You care about building models that are reliable, explainable, maintainable, and useful in real business workflows.
• You are pragmatic and able to turn unclear business problems into concrete modelling approaches.

Why Flatpay?

• Impact: Ship AI and data solutions that create real impact in one of Europe’s fastest-growing companies.
• Meaningful products: Build models that help merchants and colleagues make better decisions, act on insights, and improve workflows.
• Learning and growth: Develop across forecasting, production ML, data engineering, and AI in a supportive team.
• Flat structure: Flat structure and a strong action-over-process culture
• Competitive salary
• Vacation 6 weeks paid
• Relaxed atmosphere with optional social events such as minigolf evenings, hackathons, and company parties in exciting off-site locations.
• Co-workers with a passion for data and AI, and a passion for sharing knowledge daily.
• Pension and health insurance, as well as almost unlimited company merch.