Junior Machine Learning Scientist (m/f/d) - #2098975

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.

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 problem
  
  

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
• With us, you can expect an intercultural environment with flat hierarchies, a familiar working atmosphere as well as independent work in dedicated teams
• Become part of a company with start-up spirit that combines the advantages of the Allianz Group
• Take advantage of our wide range of training and development opportunities and shape your individual career path
• Benefit, among other things, from annual bonus payments, additional benefits, health initiatives, employee restaurant and a company pension plan
  
  

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

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