Data Scientist (Freelance, Berlin)

Remotely; Berlin; Hybrid; EUR 83.000 - 165.000; Vollzeit

Benefits dieser Stelle

Hybrid work Berlin

Competitive compensation

International workplace

Flat hierarchy

Zusammenfassung

Remotely in Berlin seeks a Data Scientist for a temporary freelance contract to transform complex datasets into actionable insights and predictive models. You will work with cross-functional teams to drive revenue optimization and strategic initiatives.

The role requires expertise in Python, SQL, and advanced analytics, with a focus on financial markets. Hybrid work in Berlin and collaboration across Europe are offered.

Qualifikationen

• Strong problem-solving with data in structured and unstructured data.
• Self-motivated and proactive attitude.
• Excellent verbal and written communication.
• Knowledge of financial markets and products (options, futures).
• Experience with pricing or revenue simulations is a strong advantage.

Aufgaben

• Manage end-to-end data-driven knowledge gathering (connect, mine, simulate, predict, illustrate, deploy).
• Create data-based solutions for complex business challenges.
• Translate business needs into hypotheses and lead advanced analytical projects.
• Design, train, deploy and monitor predictive algorithms.
• Develop data-driven business case models.
• Run simulation-based scenarios to quantify revenue impacts under different assumptions.
• Proactively communicate conclusions to technical and non-technical stakeholders.

Kenntnisse

Problem solving

Self-driven

Communication

Financial markets knowledge

Pricing/revenue simulations

Tools

Python

SQL

Jobbeschreibung

Data Scientist (Temporary Freelance Contract)

Location: Berlin, Germany (Hybrid)

About the Company

Join an established international FinTech company that empowers private and professional investors with access to global financial markets through cutting-edge technology. With a strong presence across Europe, the company combines advanced analytics, innovation, and a collaborative culture to build data-driven solutions that directly influence business performance and strategic decision-making.

As a Data Scientist, you will play a key role in transforming complex datasets into actionable insights, predictive models, and business recommendations. Working closely with cross-functional teams, you will develop analytical solutions that optimize revenue, support strategic initiatives, and improve business outcomes.

Your 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
• Development of data-driven business case models
• 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

Required Qualifications

• Solid analytical skills in structured and unstructured data (you're a natural problem solver)
• 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

What You'll Get

• Opportunity to work on high-impact analytical projects with direct business visibility.
• Exposure to complex financial and commercial datasets.
• Modern technology stack and data-driven environment.
• International, collaborative, and innovative workplace.
• Flat hierarchies with fast decision-making processes.
• Professional growth through challenging projects and continuous learning.
• Competitive compensation package.
• Hybrid working model in Berlin.
• Temporary contract with the opportunity to contribute to strategic initiatives from day one.