Senior Data Scientist

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{
  "id": "2651409",
  "name": "Senior Data Scientist",
  "office": "Copenhagen",
  "keywords": [],
  "schedule": "full-time",
  "createdAt": "2026-05-29T09:02:13+00:00",
  "seniority": "experienced",
  "department": "Tech",
  "occupation": "general_and_other_it_software",
  "subcompany": "FLATPAY ApS",
  "employmentType": "permanent",
  "jobDescriptions": [
    {
      "name": "About the job",
      "value": "You will join a growing AI team of 10 colleagues with a core mission to turn data and AI into measurable business value.<br><br>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.<br><br>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."
    },
    {
      "name": "What you'll do",
      "value": "<ul><li>Build, improve, and maintain production-grade time series forecasting models using Python, LightGBM, XGBoost, MLflow, and Databricks.</li><li>Work on revenue forecasting for 100,000+ merchants across different markets, merchant types, and business patterns.</li><li>Develop product features on top of forecasting models that support merchant-facing optimization use cases such as shift planning and table booking.</li><li>Assist with and run other time series projects across areas such as churn prediction, TPV forecasting, upsell opportunities, and more.</li><li>Design robust feature pipelines, model training workflows, evaluation frameworks, and monitoring approaches for forecasting models in production.</li><li>Collaborate closely with data engineers to ensure models are built on reliable, scalable, and well-structured data foundations.</li><li>Work with business stakeholders, product teams, and commercial teams to understand forecasting needs and turn them into practical data science solutions.</li></ul>"
    },
    {
      "name": "Who you are",
      "value": "<ul><li>You have 3+ years of industry experience in data science, machine learning, applied statistics, or a similar technical role.</li><li>You have hands-on experience with building and maintaining time series forecasting in production.</li><li>You are comfortable building models using Python and libraries such as LightGBM, XGBoost, NumPy, and scikit-learn.</li><li>You have experience with model tracking, experiment management, and production workflows using tools such as MLflow.</li><li>You are comfortable working in Databricks or similar cloud-based data platforms.</li><li>You have strong PySpark, Pandas and SQL skills and are comfortable working with large, structured datasets.</li><li>You have experience with extracting structured features from unstructured data using LLMs and integrating that into productionized forecasting.</li><li>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.</li><li>You understand how to evaluate forecasting models using relevant metrics, backtesting, validation strategies, and business-oriented performance measures.</li><li>You care about building models that are reliable, explainable, maintainable, and useful in real business workflows.</li><li>You are pragmatic and able to turn unclear business problems into concrete modelling approaches.</li></ul>"
    },
    {
      "name": "Why Flatpay?",
      "value": "<ul><li><strong>Impact:</strong> Ship AI and data solutions that create real impact in one of Europe’s fastest-growing companies.</li><li><strong>Meaningful products:</strong> Build models that help merchants and colleagues make better decisions, act on insights, and improve workflows.</li><li><strong>Learning and growth:</strong> Develop across forecasting, production ML, data engineering, and AI in a supportive team.</li><li><strong>Flat structure:</strong> Flat structure and a strong action-over-process culture</li><li><strong>Competitive salary</strong></li><li><strong>Vacation</strong>: 6 weeks paid</li><li><strong>Relaxed atmosphere</strong> with optional social events such as minigolf evenings, hackathons, and company parties in exciting off-site locations.</li><li>Co-workers with a passion for data and AI, and a passion for sharing knowledge daily.</li><li><strong>Pension and health insurance</strong>, as well as almost unlimited company merch.</li></ul>"
    }
  ],
  "occupationCategory": "it_software",
  "recruitingCategory": "Denmark"
}