Job
In this role, you will develop modern machine learning models to analyze unstructured data, plan experiments, and create data-driven solutions for decision support within the company.
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Job technologies
Your role in the team
- Design, development, and continuous improvement of modern machine learning, deep learning, and statistical models for business-critical issues with high strategic impact.
- Analysis of complex structured and unstructured data (e.g., texts, documents, time series) as well as the development of suitable modeling approaches for predictive analytics, forecasting, and anomaly detection.
- Deployment and evaluation of modern ML and DL methods, including neural networks and transformer-based models for unstructured data.
- Planning, execution, and evaluation of experiments as well as the development and validation of data-driven hypotheses to support decision-making within the company.
- Transfer scientific insights from Machine Learning, Deep Learning, Statistics, and Optimization into robust, production-ready applications.
- Development and operation of scalable, reproducible ML and DL pipelines using modern MLOps standards with a focus on stability, scalability, and traceability.
Our expectations of you
Education
- Completed university degree (at least a Master's, ideally a PhD) in Data Science, Machine Learning, Mathematics, Physics, Economics, Computer Science, or a related field.
Qualifications
- Solid knowledge in Machine Learning, statistical modeling, Predictive Analytics, and the development of productive Data Science solutions.
- Strong programming skills in Python and solid, theoretical and practical knowledge of modern machine learning techniques and tools.
- Solution-oriented, experimental hands-on working style with a high degree of personal responsibility and willingness to take ownership of projects and results.
- Hybrid work model: Willingness to be present in Coburg.
Experience
- Several years of professional experience as a Data Scientist (m/f/d), Machine Learning Engineer (m/f/d), or in the field of Advanced Analytics, ideally with a focus on Marketing, Customer Analytics, or data-driven business models.
- Ideally, experience with Causal Inference, Uplift Modeling, Recommender Systems, or personalization solutions.
What we offer
- Employer subsidies: Your plus to salary - 13.3 monthly salaries, performance-based compensation, mobility allowances, asset-building benefits.
- Further development: Achieve your goals - qualification measures, grants for self-education measures, own training center.
- Flexibility: Good work and a good life go hand in hand - opportunity to work from home or on the go up to half of the monthly working hours.
- Work-Life Balance: Work when it suits you best - flexible working hours in flexitime, 31.5 vacation days, free on Christmas and New Year's Eve.
- Career & Family: To ensure you feel comfortable with us, we create the right conditions - support with childcare and holiday care, care for relatives, and part-time leadership positions.
- Health & Well-being: If you're doing well, we're doing well - Offers related to physical activity, nutrition, and mental health, subsidies for gym memberships and prevention courses.
- Retirement Planning: Think Today About Tomorrow - Company Pension Scheme.
- Employee consulting: Sometimes it's simply beneficial to have an external perspective — employee consulting to support individuals through all phases of life.
- Company Bike: Ride instead of roll - Subsidy for your company bike.
Benefits
Work-Life-Integration
Higher take-home pay
Topics you will work on
Job locations
About your employer
More than 12 million customers trust HUK-COBURG. As a large German insurer with its headquarters in the Franconian town of Coburg, we stand for the needs-based insurance of private households. Will the car of the future cause fewer accidents? What does old-age provision look like if everyone lives to be 100 years old? Our more than 10,000 employees are already dealing with the questions of tomorrow.
- 1933
- Established Company
- Onsite, Hybrid
- Banking, Finance, Insurance
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