Aktuelle Jobs im Zusammenhang mit (Senior) Data Scientist - Berlin - ING
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Senior Data Scientist
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Senior Data Scientist
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Senior Data Scientist
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Senior Data Scientist, MarTech Alliance
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Senior Data Scientist, MarTech Alliance
vor 1 Woche
Berlin, Berlin, Deutschland HelloFresh Vollzeit 80.000 € - 120.000 € pro JahrThe RoleAre you ready to drive a huge business impact? As Senior Data Scientist for AdTech Search Optimisation, you will be responsible to maximise the performance of our Search channels. Your work will be crucial to increase return on investment for HelloFresh's marketing budget. Hence you will have a direct impact on the company's goals to drive and...
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Senior Data Scientist
vor 1 Tag
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Senior Data Scientist
vor 1 Tag
Berlin, Berlin, Deutschland Delivery Hero Vollzeit 90.000 € - 120.000 € pro JahrCompany Description As the world's pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe's largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock...
(Senior) Data Scientist
vor 2 Wochen
Your models make sure that our “risky business” is anything but? With your analytical way of thinking, you not only see through complex issues, you can also explain and evaluate them? Perfect At ING, we place great value on team spirit, a productive working atmosphere and further training for our employees. Do you think this suits you? Then apply, your CV is all you need Our team in the Centre of Expertise “Credit Risk“ is looking forward to meeting you.
Your Tasks
- Using your data expertise, you develop new risk scorecards and improve existing ones for credit decisions, helping us to keep our risk low and the value for our customers high.
- Naturally, you ensure diligently that our models comply with group policies and requirements at all stages of their lifecycle.
- You also keep a keen eye on our models and their performance through monitoring, evaluation, and reporting, keep them on track with gap analysis, risk assessments and mitigation and maintain detailed model documentation so they stay accessible and comprehensible.
- Thanks to your clear and concise communication skills, you work seamlessly in a team with other risk model functions and are a valued and informative point of contact for internal and external auditors as well as regulators regarding model-related inquiries.
Your Profile
- Master’s degree in statistics, economics, engineering, finance, mathematics or a related quantitative field; a PhD is an advantage
- Professional experience in credit risk modelling / model validation in financial institutions
- Practised with machine learning techniques including regression, classification, clustering and ensemble methods
- Familiarity with both supervised and unsupervised learning approaches as well as practical experience in solving real-world problems using machine learning models
- Know-how in model building (cleaning data, dependent variable selection, investigation and understanding, variable reduction & grouping, bivariate analysis, logistic / linear model building, model validation)
- Proficient in Python and other analytical tools (SQL, etc.)
- Problem-solving, motivational and communicative skills paired with reliability and a hands-on work-approach
- Fluent in English, both written and spoken; fluency in German is preferred
We offer many benefits
- Company pension plan, capital-building offers, free Deutschlandticket & bicycle leasING, company restaurant
- Remote working depending on the position and department and in line with the company, regulatory and legal requirements; individualized work schedule models, sabbatical, subsidization of nursing & childcare costs
- Personal budget for continuing education and development as well as health; plus, a personal budget to set up your mobile working space
Ready for a new job?
At ING we are colorful and diverse: different personalities with different perspectives - an international culture where we value and appreciate each other. We believe in substance over style, people instead of labels.
This describes you to a T?
