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561

Machine Learning jobs in Germany

Quantitative Methods Analyst (f / m / d)

Uniper

Düsseldorf
On-site
EUR 60,000 - 90,000
30+ days ago
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Director, Data Science Consulting - Machine Learning / Artificial Intelligence (ML / AI) (m / f / d)

Epam

Düsseldorf
On-site
EUR 80,000 - 130,000
30+ days ago

Senior Machine Learning Engineer - NLP (m/f/d)

Merantix

Berlin
On-site
EUR 60,000 - 100,000
30+ days ago

AI Consultant (m/w/d)

König + Neurath AG

Germany
On-site
EUR 60,000 - 80,000
30+ days ago

Staff Data Scientist - (Quick Commerce)

Delivery Hero Austria

Berlin
Hybrid
EUR 70,000 - 110,000
30+ days ago
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Duales Studium - Data Science und Künstliche Intelligenz (m/w/x), Beginn Herbst 2026

ZEISS

Germany
On-site
EUR 60,000 - 80,000
30+ days ago

Senior Product Manager - Developer Platform

Delivery Hero Austria

Berlin
Hybrid
EUR 70,000 - 100,000
30+ days ago

Data Engineer

Booz Allen Hamilton, Inc.

Germany
Hybrid
USD 77,000 - 176,000
30+ days ago
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Werkstudent für Machine Learning Operations (m/w/d/kA)

REWE Group

Dortmund
On-site
EUR 60,000 - 80,000
30+ days ago

AI Engineer (m/f/x)

osapiens

Germany
Hybrid
EUR 55,000 - 85,000
30+ days ago

Duales Studium - Data Science und künstliche Intelligenz (B.Sc.) für die Marke ratiopharm

Teva Pharmaceuticals

Germany
On-site
EUR 60,000 - 80,000
30+ days ago

EY-Parthenon (Senior) Consultant Commercial AI - Strategy and Transactions (w/m/d)

EY

Germany
On-site
EUR 60,000 - 90,000
30+ days ago

Werkstudent (m/w/d) Mathematiker/Aktuar mit Schwerpunkt Bilanzprojektion und Data Science

Signal Iduna

Germany
On-site
EUR 60,000 - 80,000
30+ days ago

Junior research group leader, Machine Learning in the Cognitive Sciences

NLP PEOPLE

Potsdam
On-site
EUR 55,000 - 85,000
30+ days ago

Duales Studium Wirtschaftsinformatik - Data Science 2026

Lidl

Germany
On-site
EUR 1,000 - 2,000
30+ days ago

Android-Entwickler (Kotlin/Java) für Machine Learning in der Automotive-Branche (m/w/d)

AllatNet Recruiting GmbH & Co. KG

Erlangen
On-site
EUR 60,000 - 85,000
30+ days ago

Softwareentwickler Embedded (m/w/d) Machine Learning

AllatNet Recruiting GmbH & Co. KG

Nürnberg
On-site
EUR 50,000 - 70,000
30+ days ago

Software Engineer in Test

Dataiku

Berlin
Hybrid
EUR 50,000 - 75,000
30+ days ago

Software Engineer - DevOps / Cloud (m|w|d)

Comsysto Reply GmbH

München
Hybrid
EUR 80,000 - 100,000
30+ days ago

Softwareentwickler Machine Learning

WetterOnline Meteorologische Dienstleistungen GmbH

Bonn
Hybrid
EUR 55,000 - 75,000
30+ days ago

SAP Senior Developer / Architect (BTP & ABAP) (w/m/d)

apsolut GmbH

Bielefeld
On-site
EUR 70,000 - 100,000
30+ days ago

Duales Studium mathematisch-technischer Softwareentwickler 2023 m/w/d

RWE

Essen
On-site
EUR 40,000 - 60,000
30+ days ago

Senior Software Engineer - Machine Learning (NLP Focus)

Mitratech

München
Hybrid
EUR 55,000 - 85,000
30+ days ago

Senior Machine Learning Engineer, Map Data

Lyft

München
On-site
EUR 80,000 - 110,000
30+ days ago

ML Engineer / Machine Learning Engineer (m/w/d)

conventic GmbH

Bonn
Hybrid
EUR 60,000 - 90,000
30+ days ago

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Quantitative Methods Analyst (f / m / d)
Uniper
Düsseldorf
On-site
EUR 60.000 - 90.000
Full time
30+ days ago

Job summary

A leading company in the energy sector is seeking an experienced professional for their Risk Management department. The role entails developing advanced valuation models and supporting risk management initiatives aimed at enhancing business performance. Candidates should have a strong background in Mathematics or Physics, experience in quantitative financial modeling, and proficiency in programming languages such as C++, Java, or Python. A commitment to teamwork in a diverse environment is essential.

Benefits

Flexible working arrangements
Attractive salary
Company pension contributions
Health-related benefits
Lifelong training opportunities
Home office support
Car and bike leasing offer

Qualifications

  • Solid skillset in mathematical and statistical methods.
  • Experience with quantitative financial models.
  • Fluency in English for presentations and documentation.

Responsibilities

  • Develop valuation, risk management, and optimization models.
  • Support risk management and contribute to business origination.
  • Engage with stakeholders to ensure analytics' commercial value.

Skills

Mathematical methods
Statistical methods
Optimization algorithms
Stochastic calculus
Creative problem-solving
Collaboration
Communication

Education

Degree in Mathematics
Degree in Physics

Tools

C++
C#
Java
Scala
Python
Job description

Our Risk Management 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

  • Develop state-of-the-art valuation, risk management and optimization models, and implement them as software solutions into our systems infrastructure and processes.
  • Ensure the effective use of these models and analytics within the organization to
    • Enable commercial functions to manage financial risks (market, credit, liquidity, weather).
    • Contribute to origination of new business.
    • Support and enhance risk management.
  • Understand front-to-end business processes, and work effectively and collaboratively across all functions and levels of the organization to deliver solutions.
  • Initial focus on multi-factor market model for Uniper’s portfolio valuation, but we aim to give you a broad exposure over time.
  • Promote dialogue and constructively challenge the status quo when appropriate to drive continuous business improvement.
  • Support Uniper’s digital roadmap, leveraging techniques like machine learning or technologies like cloud-computing to deliver better solutions.
  • Take responsibility for individual projects and their delivery.
  • As an experienced candidate we expect you to mentor and develop junior colleagues in your team.

Your profile

  • Your background in Mathematics, Physics, or a related field has given you a solid skillset in mathematical and statistical methods and the ability to creatively solve quantitative problems.
  • Common numerical and optimization algorithms, and stochastic calculus are familiar to you. Deep experience in these areas is an advantage.
  • You have experience with developing quantitative financial models. A track record of delivering such models in a commercial setting or experience in energy markets is a bonus.
  • You have experience implementing quantitative models in a major compiled programming language such as C++, C#, Java, or Scala, and are familiar with Python. Ideally, you also have some experience with cloud-based continuous development.
  • Close teamwork in a diverse, multicultural environment motivates you.
  • You enjoy engaging with different business stakeholders to ensure the commercial value of your analytics, and you can communicate complex quantitative and technical content succinctly.
  • You are fluent in English and can deliver high-quality presentations and documentation.

Your benefits

At Uniper, we not only reward our employees with attractive salaries, an excellent company pension and health related benefits for their hard work and dedication to shaping the future energy transition. You can also expect a supportive working culture that offers a wide range of creative and innovative ideas. We enable various flexible working arrangements, whilst also supporting with home office equipment. Through regular training and workshops, together we work towards visualising yourself in our company as if it were your own. We support you in highlighting your individual potential, achieving your personal goals, and reaching your ambitions. We invite you to become part of our diverse company with international colleagues from more than 80 countries. As an employer, Uniper has committed itself to providing special support to certain areas: Work-Life-Balance / New Normal:
  • Choosing how, where, and when to work in accordance with your team and the requirements of your job
  • Modern and ergonomic equipment for your workplace (home & office)
  • Support to balance private life and work: Sabbaticals, part-time possibilities, family service
Mobility:
  • Car and bike leasing offer (deferred compensation)
  • E-car charging stations at almost all Uniper locations

Health offers:

  • Flu vaccination
  • Preventive health services
  • Employee assistance program

Company pension:

  • Employer-funded contributions to a modern pension system
  • Possibility of self-funded contributions with employer-funded matching

Trainings:

  • Lifelong training
  • Coaching

Our employees are the reason for our success. Therefore, you will find many other benefits at the local level to help you reach your potential. Energy evolutionary wanted!

Your contact

If you have any questions, please do not hesitate to contact us at:

career@uniper.energy

Attention! Please apply via the button in this portal. Application documents that reach us by post will not be returned and, like those we receive by e-mail, can unfortunately not be considered!

--

As an employer, Uniper is committed to diversity and equal opportunities. Therefore, we encourage applications from suitably qualified individuals whose capabilities match the role requirements regardless of gender, origin, disability, age, religion, ideology, sexual identity or marital status. We live inclusion and support flexible working.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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