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Find jobs
6 matching jobs found

  • Data Scientist (all genders)

    Finance
    Vienna
    Was Du mitbringst:
    • Ausbildung: Sehr gut abgeschlossenes Studium z.B. in Data Science, (Wirtschafts-)Informatik, Mathematik, Physik oder Statistik
    • Berufserfahrung: Erste praktische Berufserfahrung in Data Science-Projekten, vorzugsweise mit ersten Einblicken in Ranking- und Empfehlungssysteme
    • Tools: Fundierte Kenntnisse im Python Data Science Stack (Pandas, SKLearn, SciPy) sowie Erfahrung mit Deep Learning Frameworks (Pytorch, Tensorflow)
    • Smarte Lösungsfindung: Kreativität und Neugierde bei der Anwendung neuester Algorithmen aus dem Bereich Data Science zur Optimierung unserer Produkte
    • Interdisziplinäres Mindset: Motivation zur interdisziplinären Arbeit zwischen IT und Produktmanagement und zum Wissensaustausch innerhalb der CHECK24 Data Science Community
    • Sprachkenntnisse: Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift
    Show job

  • (Junior) Data Scientist (m/f/d) Machine Learning InsurTech

    Insurance
    Frankfurt
    Your Qualifications:
    • Bachelor’s or Master’s degree in Data Science, Analytics, Statistics, Mathematics, Computer Science or a related field
    • 1–2 years of professional experience in Data Science or Machine Learning projects
    • Proven ability to translate domain knowledge into actionable ML solutions and build end-to-end ML pipelines
    • Demonstrated hands-on experience with AI Agents, RAGs,  LLM fine-tuning and using frameworks such as HuggingFace, Langchain and AI tools
    • Strong Python and SQL programming skills for data manipulation and model development
    • In-depth understanding of ML algorithms, both classical and advanced, including deep learning approaches
    • Familiarity with version control systems (e.g., Git, Bitbucket) for maintaining code integrity
    • Experience with recommendation systems, including neural network-based models, is a plus
    • Knowledge of ML pipeline orchestration tools such as MLflow or Kubeflow is an advantage
    • Experience with Tableau and designing A/B testing experiments is a strong plus
    Show job

  • (Junior) Data Scientist (m/f/d) FinTech

    Finance
    Munich
    Your Qualifications:
    • Master’s degree in physics, mathematics, data science, statistics, computer science, business informatics or related fields 
    • Enthusiasm for the application of mathematics and machine learning technology to make our financial products faster, better and even more convenient to use
    • First experience and strong working knowledge in data wrangling, manipulation, visualization, machine learning, and deep learning using libraries such as pandas, NumPy, scikit-learn, LightGBM, TensorFlow, etc.
    • Solid Python programming and software engineering skills; ideally, experience with REST frameworks like FastAPI, and additional frameworks/tools such as Docker, Streamlit, MLflow, Grafana etc.
    • Creativity and curiosity to apply cutting-edge algorithms from the data science field to our products (e.g., LSTMs, transformers)
    • High motivation to work in agile and cross-disciplinary teams and to share knowledge inside the CHECK24 data science community
    • Fluent spoken and written English skills. German skills are beneficial but not mandatory
    Show job

  • Werkstudent Data Science (m/w/d) Shopping

    Furniture
    Berlin
    Was Du mitbringst:
    • Laufendes Studium in (Wirtschafts-)Mathematik, Informatik, Data Science, Statistik, Physik oder Wirtschaftswissenschaften mit quantitativem Schwerpunkt
    • Erste Erfahrungen in Python sowie Grundkenntnisse typischer Data-Science-Pakete (z. B. numpy, pandas, scikit-learn)
    • Interesse an Machine Learning, Datenanalyse und datengetriebenen Anwendungen
    • Analytisches Denkvermögen, Neugier und Freude am Lernen
    • Verhandlungssichere Deutschkenntnisse (mind. C1) in Wort und Schrift
    Show job

  • KI / Machine Learning Entwickler (m/w/d) Explorer

    Travel
    Erfurt
    Was Du mitbringst:
    • 3–4 Jahre Berufserfahrung in der Entwicklung von generativen KI- und Machine-Learning-Anwendungen, idealerweise in den Bereichen Recommender- und Ranking-Systeme
    • Fundierte Programmiererfahrung in Python sowie sicherer Umgang mit den gängigen Bibliotheken/Frameworks für Machine Learning (z. B. Scikit-learn, TensorFlow)
    • Erfahrung im Umgang mit relationalen Datenbanken (insbesondere SQL) sowie weiteren Datenbank- und Speichertechnologien (ElasticSearch, Redis)
    • Starkes konzeptionelles Denken, kombiniert mit Problemlösungskompetenz durch den Einsatz von Statistik und Machine Learning
    • Begeisterung dafür, Machine-Learning- und KI-Services mithilfe von Software-Engineering-Skills und modernen Cloud-Services von der Konzeption bis zur Umsetzung zu bringen
    • Verhandlungssichere Deutsch- und Englischkenntnisse (mindestens C1-Niveau)
    Show job

  • Studentische Aushilfe (m/w/d) Datensortierung

    Finance
    Munich
    Was Du mitbringst:
    • Laufendes Studium: Gültige Immatrikulation, die Fachrichtung ist für uns nebensächlich. Wichtig sind uns hohe Motivation und Lernbereitschaft
    • Digital Mindset: Du begeisterst Dich für digitale Trends und hast Interesse an datengetriebenen Produkten und Services
    • Auge fürs Detail: Du hast Spaß an der Fehlersuche und Verbesserungsmöglichkeiten fallen Dir mit Deiner aufmerksamen und detaillierten Arbeitsweise direkt auf
    • Drive und Kommunikation: Du hast Lust in einem agilen und kommunikativen Team zu arbeiten, um gemeinsam schnell und effizient Lösungen zu finden und diese umzusetzen
      Zeitliche Verfügbarkeit: Du bist bereit, mindestens 16 Stunden pro Woche bei uns zu arbeiten
    • Sprachkenntnisse: Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift runden Dein Profil ab
    Show job

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