Data Scientist - Financial Forecasting (f/m/x)

TN Germany; München; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading company in Munich seeks a Data Scientist specialized in financial forecasting. You will develop data-driven solutions and collaborate with finance teams to create robust models. Ideal candidates have a strong background in data analytics and machine learning, and excellent communication skills.

Leistungen

Individual development perspectives

Flexibility in organizing work

Qualifikationen

• At least 3+ years of experience in data modeling or data science.
• Familiarity with financial concepts and metrics.

Aufgaben

• Develop targeted data-driven solutions for financial forecasting.
• Collaborate with finance departments to drive accurate revenue forecasts.

Kenntnisse

Data Analytics

Machine Learning

Problem Solving

Communication

Results Orientation

Ausbildung

PhD in Natural Science, Mathematics, Computer Science, or Economics

Tools

Python

Azure Machine Learning Service

MS Azure DevOps

Git

Jobbeschreibung

Data Scientist - Financial Forecasting (f/m/x), Munich

Client:

ZEISS Group

Location:

Job Category:

Other

EU work permit required:

Yes

Job Reference:

08f0a2979d3f

Job Views:

1

Posted:

16.05.2025

Expiry Date:

30.06.2025

Job Description:

Your role

You will play a crucial role in shaping the future of Data Science and actively contribute to the success of the digital transformation at ZEISS. As part of our rapidly growing Enterprise Data & Analytics organization within the Data Science team, you develop targeted data-driven solutions with a focus on financial forecasting and modelling. In close collaboration with colleagues from finance and controlling departments, you explore internal and external datasets to develop robust models and algorithms that drive accurate revenue forecasts, enabling informed decision-making and strategic planning. You will transform business needs into technical solutions, from early explorative analyses to fully functional and operational solutions. You will actively contribute to the exchange of knowledge within the team and the ZEISS machine learning community.

Your profile

An excellent university degree (PhD is a plus) in natural science, mathematics, computer science, economics or similar.

At least 3+ years of professional experience in a data modeling, algorithm development or data science role.

A deep understanding of data analytics and machine learning and their underlying algorithms.

Experience with best practices in model development and deployment (Azure Machine Learning Service/ MLflow).

A background in software development (Python, git, MS Azure DevOps) and familiarity with agile methods.

Familiarity with financial concepts and metrics, including revenue recognition, profitability analysis, and financial statements.

The ability to understand customer needs and solve real-world problems and to prepare, communicate and discuss complex technical facts to non-technical stakeholders.

Pronounced results orientation and strong strategic and conceptual skills.

Fluent English and advanced German language skills.

At ZEISS we encourage creative thinking and innovation. We work in dynamic and interdisciplinary teams and offer individual development perspectives as well as flexibility in organizing your work. We care about our employees and take responsibility for improving society and preserving our environment. These core values have shaped our corporate culture at ZEISS for over 170 years.