Junior Machine Learning Scientist (m/f/d)

IDS GmbH – Analysis and Reporting Services; München; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

An innovative company is seeking a motivated Junior Machine Learning Scientist to join their dynamic team. This role offers an exciting opportunity to work on cutting-edge projects focused on anomaly detection and machine learning. With a strong foundation in advanced statistics and programming, you will collaborate with experienced engineers to design and refine models, ensuring efficient solutions. Enjoy a flexible working environment, extensive training opportunities, and a supportive team culture that values your ideas and contributions. If you are passionate about data and technology, this is the perfect opportunity for you!

Leistungen

Flexible working hours

Home office arrangement

30 vacation days per year

Annual bonus payments

Health initiatives

Employee restaurant

Company pension plan

Qualifikationen

• Strong foundation in advanced statistics and programming, especially with Python.
• Experience in machine learning with a focus on research projects.

Aufgaben

• Collaborate with senior engineers to design and refine machine learning models.
• Develop and implement machine learning algorithms using Python.

Kenntnisse

Advanced Statistics Knowledge

Python Programming

Machine Learning Knowledge

Research Project Experience

Tools

AWS

Azure

Google Cloud

Jobbeschreibung

IDS GmbH - Analysis and Reporting Services (IDS) unlocks the value of data for the global investment industry: We validate, refine, and link data from a wide variety of sources and make it available for mission-critical processes along all investment strategies and products quickly, worldwide, and at any time. Fund management companies, insurance companies, banks and pension funds can use IDS to access a flexibly scalable data platform as well as all necessary analyses and reports in the desired format. As a 100% subsidiary of Allianz SE, IDS has stood for stability, reliability and certified security in the handling of its customers' data since 2001.

Job Details

70311 | IT & Tech Engineering | Entry Level | | IDS | Full-Time | Permanent

Job Purpose/Role

We are seeking a motivated Junior Machine Learning Scientist to join our dynamic team. The ideal candidate will have a strong foundation in advanced statistics, programming (especially with Python), and machine learning, with a focus on research projects related to anomaly detection or similar areas. This role offers an exciting opportunity to contribute to cutting-edge projects and develop innovative solutions.

If you are enthusiastic about data, then you are exactly right with us. You can expect an international environment with flat hierarchies giving you the freedom to contribute your ideas and experience. To support your start at IDS GmbH, we offer an extensive onboarding program.

Key Responsibilities

• Collaborate with senior machine learning engineers and scientists to design, test, and refine machine learning models, focusing on anomaly detection and related areas.
• Develop and implement machine learning algorithms and models using Python, ensuring efficient and scalable solutions.
• Write clean, maintainable, tested and efficient code to support machine learning projects and data analysis tasks.
• Automate existing processes with the help of Python to increase efficiency.
• Apply statistical techniques to analyze and interpret complex data sets, ensuring robust and reliable model development.
• Conduct research and experiments to explore new methodologies and improve existing models, with a particular emphasis on anomaly detection.

Key Requirements/Skills/Experience

Mandatory:

• Advanced Statistics Knowledge: Proficiency in statistical methods and data analysis techniques
• Programming Skills, especially with Python: Ability to write efficient, maintainable code in Python, and familiarity with relevant libraries and frameworks for machine learning and data analysis.
• Machine Learning Knowledge: Understanding of machine learning algorithms and techniques, with experience in designing, testing, and refining models for various applications.
• Experience with Research Projects: Demonstrated experience in conducting research, designing experiments, and applying scientific methodologies to solve complex problems.

Beneficial:

• Cloud Experience: Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and managing machine learning models.
• GenAI Experience: Understanding of generative AI techniques and their applications in machine learning projects.

What We Offer

• Benefit from flexible working hours, a home office arrangement and 30 vacation days per year.
• Expect an intercultural environment with flat hierarchies, a friendly working atmosphere, and independent work in dedicated teams.
• Join a company with start-up spirit that combines the advantages of the Allianz Group.
• Access a wide range of training and development opportunities to shape your career.
• Enjoy benefits such as annual bonus payments, additional perks, health initiatives, an employee restaurant, and a company pension plan.

Allianz Group is one of the most trusted insurance and asset management companies worldwide. We care for our employees' ambitions, dreams, and challenges, making us a unique employer. Together, we aim to create an environment where everyone feels empowered to grow and contribute to a better future for our customers and the world.

We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage applications regardless of ethnicity, age, gender, nationality, religion, disability, or sexual orientation.

Great to have you on board. Let's care for tomorrow.