(Senior) Data Scientist in Finance (f/m/d)

(Senior) Data Scientist in Finance (f/m/d)

3.83.8 von 5 Sternen

Holzstraße 6, 40221 Düsseldorf

Link: (CompanyWebsite)

Mitarbeiteranzahl: 5.001 bis 10.000 (CompanyEmployee)

Umsatz: mehr als 10 Mrd. EUR (CompanyRevenue)

Stellenbeschreibung

Anstellungsart

Vollzeit

Arbeitsort

Holzstraße 6, 40221 Düsseldorf

Vollständige Stellenbeschreibung

(Senior) Data Scientist in Finance (f/m/d)

Our Data Science Department is looking for You!

We are Uniper

At Uniper, we are pro-actively transforming the world of energy whilst at the same time ensuring security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply as well as pro-actively help to shape changes. Interested? Then we will look forward to meeting you!

Your responsibilities

Join our Finance Information Excellence (FIE) team. Our mission is to build and enable a forward-looking Finance organization by combining advanced technology and Data Science with the expertise of our Finance experts in Accounting, Controlling, Internal Controls, Financial Services and IT. Join us in shaping this transformative journey!

Innovation: Design and develop data-driven solutions using transactional data, financial statements, and unstructured information.

Deploy AI at Scale: Apply advanced analytics, Machine Learning, and NLP (including LLMs) to support high-stakes decision-making and automate regulatory tasks.

Collaboration: work closely with Finance experts and stakeholders across Finance functions to implement impactful solutions in close collaboration with our FIE experts and IT teams

End-to-End oversight: accompany the full lifecycle of our data science initiatives from ideation to a live production environment.

Community & Coaching: Act as an ambassador for AI within Uniper, training colleagues and helping business teams leverage advanced tools in their daily operations and engage with our AI and digitization communities

Modern Ecosystem: Work within a cloud environment featuring MS Azure, Snowflake, Databricks and SAP complemented by modern productivity tools (e.g., Microsoft 365 and Github- Copilot) with a modern workspace.

Your profile

Professional experience: 5 to 7 years of experience in a data science delivery role in the context of accounting, controlling, or financial services

Domain Knowledge: You understand the 'language of business'. Experience in Accounting or Financial Controlling will help you.

Human-Centric: strong customer focus, combining empathy with the ability to translate technical complexity for non-technical stakeholders

Data Science Expertise: A strong track record in Statistics, Machine Learning or Natural Language Processing (experience using LLMs for regulatory tasks is a significant advantage)

Data Architecture: Familiarity with modern data stacks like Databricks, Snowflake, and Azure cloud services. Experience with BI tools or creating user-facing frontends for quantitative tasks is a plus.

Education: Masters degree in computer science, Operations Research, Mathematics, Statistics, or a related quantitative field.

Communication: Fluent in English and German languages

Growth mindset with openness to new technologies and a willingness to continuously develop relevant skills and capabilities