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Data Scientist (Temporary Role)

Stellenbeschreibung:

Data Scientist (Temporary Role)

Work Location: Berlin or Amsterdam

Are you a skilled Python and SQL user with a strong analytical background and experience in crafting top‑shelf prediction models? You are passionate about uncovering insights within data and applying them to real‑world financial challenges? Then you might just be the Data Scientist we’re looking for!

Your Primary Responsibilities

  • Manage the end‑to‑end process of data‑driven knowledge gathering (connect, mine, simulate, predict, illustrate, and deploy)
  • Create data‑based solutions to address complex business challenges
  • Translate business needs into hypotheses, leading to advanced analytical projects, and conduct ad hoc analyses to address specific business questions
  • Design, train, deploy and monitor predictive algorithms
  • Develop and run simulation‑based scenarios to quantify revenue and business impact under different assumptions
  • Develop and run simulation‑based scenarios to quantify revenue and business impact under different assumptions
  • Proactively communicate and share your conclusions, as well as explain complex topics to technical and non‑technical stakeholders

What We’re Looking For

  • Solid analytical skills in structured and unstructured data (you’re a natural problem solver)
  • Someone who is available for 4–6 months
  • Proficiency in Python and SQL (you can write advanced queries with ease)
  • A self‑driven and proactive attitude
  • Strong verbal and written communication skills (you can explain complex ideas in simple terms)
  • Focus on quality (you strive for excellence in everything you do)
  • Knowledge of financial markets & financial products (options, futures, etc.)
  • Experience with pricing or revenue simulations is a strong advantage

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    26 Feb 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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