Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Unterföhring
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you translate business questions into statistical problems, develop machine learning models, process data, and present your findings understandably to various stakeholders.
Job Technologies
Your role in the team
- Problem Solving & Strategy: You translate a business-relevant question into a statistical problem and identify the appropriate framework for it.
- Data Engineering: You localize and combine data sources and transform large datasets for in-depth analysis.
- Modeling: You develop statistical and machine learning models and/or AI agents that automate decisions, integrating them into our core processes and systems.
- Communication: You interpret, visualize, and communicate your results clearly to top management, technical colleagues (m/f/d), and Data Scientists (m/f/d) in the APKV and beyond.
- Cross-hierarchy collaboration: You work closely with APKV colleagues (m/f/d) from administrative staff to management and have a comprehensive understanding of the processes.
- Innovation: You identify solutions and opportunities that others do not see and proactively drive them forward with your team.
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Our expectations of you
Education
- Background: You hold a university degree in statistics, mathematics, economics, computer science, engineering, physics, or a comparable discipline.
Qualifications
- Expertise: You have an in-depth understanding of the mathematical and statistical concepts behind the most common machine learning methods (e.g., linear models, decision trees, ensemble methods such as bagging and boosting). You possess a solid understanding of modern LLM and multi-agent architectures, including prompt engineering, retrieval-augmented generation (RAG).
- Working style (optional): You have already worked in agile and cross-functional teams.
- Language skills: Negotiation-level German, Fluent English
Experience
- Practical experience: You are proficient in programming with Python (numpy, scipy, pandas, polars, matplotlib, scikit-learn) and SQL, developing modular, maintainable code and custom packages, and you are skilled in handling tabular data across the entire pipeline – from exploration through feature engineering to modeling. You have experience working with GenAI and can translate strategic process requirements into scalable agent-based end-to-end architectures.
- Technical skills: You use Git, write automated tests, and are proficient in using CI/CD pipelines. Ideally, you have experience with cloud infrastructure.
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What we offer
- Health & Well-being: An occupational health insurance, sports and health programs, as well as preventive measures, lay the foundation for physical and mental health.
- Remuneration: Collective bargaining bonuses, company pension schemes, asset-building benefits, and employee stock ownership plans make the compensation package particularly attractive. Additionally, employees are involved in the company's success.
- Time & Flexibility: With our "New Work" model, work and private life can be coordinated even better. We work flexibly, hybrid, mobile, and on-site.
- Career Development: We will collaboratively create a personal development plan and enable cross-functional and international experience.
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Benefits
Higher Take-Home Pay
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Allianz SE
Allianz is a great place to work for people who want to take initiative and grow within the company. With a strong global presence, Allianz is always looking for ways to improve and stay ahead of the competition. The company truly cares about its 85 million customers and 142,000 employees. Allianz fosters a culture of collaboration and innovation, where employees are encouraged to perform to the best of their abilities and challenge the status quo. If you're looking for an exciting and supportive work environment, Allianz is the place for you.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Employer reviews
by devworkplaces.com
Total
(1 Review)Career Growth
3.6Workingconditions
4.0Culture
3.5Engineering
3.0
Data Scientist in Advanced Analytics
- Location
- Unterföhring
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
