(Senior) Applied Scientist (Machine Learning) (m/f/d)

Hello, let's tell WIR! In the Data Analytics Team of HUK-COBURG we transform data into real added value for over 13 million. Inside. As Germany's leading automotive insurance company, we are a long-standing and stable company that is investing in innovation and its data-driven future. Our agile Data Analytics teams use state-of-the-art machine learning and AI methods to optimize processes, calculate fair prices, control damage digitally and intelligently and to develop new, innovative insurance products. Become part of our large data community, develop together with many other experienced data specialists:in practice-oriented machine learning applications and thus shape the change driven by data, machine learning and AI in one of the largest insurers in Germany. (Senior) Applied Scientist (Machine Learning) (m/d) Coburg, Bavaria, Germany Employment Full-time Weekly work time 38 hours Duration type Unlimited Start of occupation now

Conception, development and development 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) and development of suitable modeling approaches for predictive analytics, predictions and anomaly detection Use and evaluation of modern ML and DL methods including neural networks and transformer-based models for unstructured data Planning, implementation and evaluation of experiments as well as development and validation of data-driven hypotheses for decision support in the company Transfer of scientific knowledge from machine learning, deep learning, statistics and optimization in robust, production-ready applications Development and operation of scalable, reproducible ML and DL pipelines using modern MLOps standards with focus on stability, scalability and traceability

Completed studies (at least master, ideally doctorate) in Data Science, Machine Learning, Mathematics, Physics, VWL, Computer Science or a related subject Multiannual professional experience as Data Scientist (w/m/d), Machine Learning Engineer (w/m/d) or Advanced Analytics, ideally focusing on marketing, customer analytics or data-driven business models Knowledge of machine learning, statistical modeling, predictive analytics and the development of productive data science solutions Strong programming knowledge in Python and sound, theoretical and practical knowledge in modern machine learning techniques and tools Ideally experience with Causal Inference, Uplift-Modelling, Recommender Systems or personalization solutions Solution-oriented, experimental hands-on work with high self-responsibility and willingness to take over Ownership for projects and results Hybrid working model: readiness for presence in Coburg

Employer grants: Your benefit to salary – 13.3 monthly salaries, performance-oriented remuneration, mobility grants, asset-effective benefits Further development: Achieve your goals – training measures, self-training grants, own training center Flexibility: Good work and a good life go hand in hand - possibility to work up to half the monthly working hours from home or on the go Work-Life-Balance: Work then when it is best for you – flexible working time models in sliding time, 31.5 days holiday days, Christmas and New Year's Eve free Occupation & Family: To make you feel comfortable with us, we create the right framework conditions - support in child care and holiday care as well as family care and part-time leadership positions Health & well-being: If you're okay, we're good – offers on exercise, nutrition and mental health, grant membership in gyms and prevention courses Pension provision: Today think of tomorrow – occupational pension provision Co-worker advice: Sometimes it's just good to let someone think of from the outside - co-worker advice to support in all stages of life Service bike: Cycling instead of rolling - subsidy of your service bike