Freelance Temporary Role Data Scientist (M/F/D) at LYNX Berlin

LYNX Berlin; Deutschland; On-site; EUR 70,000 - 110,000; Full time

Job summary

LYNX Berlin is seeking a Freelance Data Scientist (M/F/D) for a temporary, on-site role in Berlin. You will apply Python and SQL to build high-quality prediction models and deliver data-driven insights for financial challenges.

The position emphasizes end-to-end data projects, clear communication with technical and non-technical stakeholders, and a strong focus on quality, with opportunities to impact pricing and revenue simulations.

Qualifications

• Strong analytical skills with structured and unstructured data.
• Advanced proficiency in Python and SQL.
• Self-driven mindset with a problem-solving attitude.
• Excellent verbal and written communication, able to explain complex topics clearly.
• Knowledge of financial markets and financial products such as options and futures.
• Experience with pricing models or revenue simulations is a strong advantage.

Responsibilities

• End-to-end data projects from data gathering to deploying models.
• Develop data-driven solutions to solve complex business challenges.
• Translate business needs into hypotheses and lead analyses.
• Design, train, deploy and monitor predictive models.
• Quantify revenue impact through simulation scenarios.
• Clearly communicate findings to technical and non-technical stakeholders.

Skills

Analytical skills

Python

SQL

Self-driven

Communication

Financial markets

Pricing models

Job description

Freelance Data Scientist (M/F/D) (Temporary Role)

Location: Berlin

This Full time on site position offers great opportunities for career growth.

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.