Senior Data Scientist at Flatpay

Herlev, Capital Region of Denmark, Denmark -

Full Time

Start Date

Immediate

Expiry Date

27 Aug, 26

Salary

0.0

Posted On

29 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Time Series Forecasting, Python, LightGBM, XGBoost, MLflow, Databricks, PySpark, Pandas, SQL, Scikit-learn, NumPy, LLMs, Feature Engineering, Model Monitoring, Backtesting, Machine Learning

Industry

technology;Information and Internet

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. Contact info About us Welcome to Flatpay! Flatpay is not just another payment solution; we are dedicated to innovating the market for payment solutions and financial services in the SME segment with our customer-centric and transparent services. Today, we are one of the fastest-growing fintech companies out of the Nordics - and Denmark's fastest unicorn! Flatpay is more than just work. We believe in fostering a vibrant and fun work culture where our ambitious colleagues can thrive. As part of our team, you will be one of +1.700 passionate colleagues dedicated to making a difference in the world of payments. What sets Flatpay apart is our dedication. We continuously strive to stay ahead of the curve, adapting our solutions to meet our client's evolving needs. Let's shape the future of merchants together!

Responsibilities

Build and productionize time series forecasting models to support revenue forecasting and operational decision-making for over 100,000 merchants. Collaborate with data engineers and business stakeholders to design robust feature pipelines and practical AI solutions.