Freelance Temporary Role Data Scientist

Lynx Beleggen

Berlin

Vor Ort

EUR 60.000 - 90.000

Vollzeit

14 Tage+

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Zusammenfassung

LYNX is seeking a Freelance Data Scientist for a temporary role in Berlin. You will apply Python and SQL to build, evaluate and deploy predictive models addressing financial challenges and revenue simulations.

You will translate business questions into hypotheses, manage end-to-end data projects, and communicate insights to both technical and non-technical stakeholders. Berlin-based, on-site with a modern FinTech environment.

Qualifikationen

  • Advanced proficiency in Python and SQL.
  • Strong analytical skills with structured and unstructured data.
  • Self-driven with problem-solving mindset.
  • Excellent verbal and written communication; ability to explain topics clearly.
  • Focus on quality and continuous improvement.
  • Knowledge of financial markets and financial products (options, futures).
  • Experience with pricing models or revenue simulations is a plus.

Aufgaben

  • Manage end-to-end data-driven knowledge gathering and deployment.
  • Develop data-driven solutions to business challenges.
  • Translate business needs into hypotheses and lead analytical projects.
  • Design, train, deploy and monitor predictive models and algorithms.
  • Develop data-driven business case models.
  • Build and run simulations to quantify revenue and impact.
  • Communicate findings to technical and non-technical stakeholders.

Kenntnisse

Python
SQL
Data analysis
Communication
Problem solving
Financial knowledge
Pricing models

Jobbeschreibung

FreelanceData Scientist (Temporary Role)

Location: Berlin

Are you a skilled Python and SQL user with a strong analytical background and experience in building high-quality prediction models? Are you passionate about uncovering insights from data and applying them to real-world financial challenges? Then you might be the Data Scientist we're looking for!

Your Responsibilities
  • Manage the end-to-end process of data-driven knowledge gathering, including connecting, mining, simulating, predicting, visualising and deploying data solutions.
  • Develop data-driven solutions to solve complex business challenges.
  • Translate business needs into hypotheses and lead advanced analytical projects while performing ad hoc analyses to answer specific business questions.
  • Design, train, deploy and monitor predictive models and algorithms.
  • Develop data-driven business case models.
  • Build and run simulation scenarios to quantify revenue and business impact under different assumptions.
  • Clearly communicate findings and explain complex analytical concepts to both technical and non-technical stakeholders.
What We’re Looking For
  • Strong analytical skills with experience working with both structured and unstructured data.
  • Advanced proficiency in Python and SQL.
  • A proactive, self-driven mindset with a problem-solving attitude.
  • Excellent verbal and written communication skills, with the ability to explain complex topics in a clear and understandable way.
  • A strong focus on quality and continuous improvement.
  • Knowledge of financial markets and financial products, such as options and futures.
  • Experience with pricing models or revenue simulations is considered a strong advantage.
About LYNX

LYNX is an online broker founded in Amsterdam in 2006 and has grown into one of Europe's leading brokers for private and professional investors. We provide clients with access to global financial markets—from stocks and ETFs to options, futures and forex—across more than 100 exchanges worldwide.

What sets LYNX apart is our focus on advanced trading technology combined with excellent customer service. We support active traders and investors by providing powerful trading tools while maintaining a personal approach whenever clients need assistance.

With offices in Amsterdam, Ghent, Berlin and Prague, approximately 300 colleagues work together in an international, collaborative and growth-oriented FinTech environment to help clients achieve their investment goals.

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