2024. 05. 23. | Teljes munkaidõ | Budapest | Morgan StanleyOr other internal and external stakeholders • Manage a team of talented and smart individuals (VP level only) You have • A degree in a quantitative field such as Finance, Economics, Mathematics, Mathematical Finance, Physics,puter Science or Engineering • A thorough knowledge of mathematics and statistics
Nézze később2024. 05. 23. | Teljes munkaidõ | Budapest | RandstadAnd reporting activitiesPreparation of Annual Report according to Hungarian GAAP, statutory and fiscal regulationProcess tax inquiries, audits, communication with Tax authorities Communicate with auditors, lawyers and local authoritiesOther statutory reporting (Statistics, National Bank)Provide tax advice
Nézze később2024. 05. 23. | Teljes munkaidõ | Budapest | FAOManagement of the finance function within the SSC, ensuring timely completion within established Service Level Agreements (SLAs) and tracking of statistics.• Coordinates the development of training and related training materials and promotes best practices and capacity development at headquarters
Nézze később2024. 05. 23. | Teljes munkaidõ | Budapest | SanofiPatients and customers. Examples of AI projects include, but are not limited to, Omnichannel Engagement, Predicting Next Best Action, Marketing Mix Model, Smart AI Alerts. You will specifically,Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting
Nézze később2024. 05. 23. | Teljes munkaidõ | Budapest | Morgan StanleyWith multiple stakeholders and engage with model owners during and after Profit and Loss/Balance sheet forecasting cycle You have Bachelor's or Master's degree in Economics - Statistics,puter Science, Software Engineering, Information Technology or related field. Strong analytical and problem solving skills
Nézze később2024. 05. 23. | Teljes munkaidõ | Budapest | Byborg IPNatural Language Processing, Audio Processing projects Deep knowledge of ML libraries like Scikit-Learn, Tensorflow, PyTorch, etc. Excellent understanding of classical and deep machine learning techniques and algorithms Experience with common statistics methodologies (distributions, clustering, regression
Nézze később2024. 05. 23. | Teljes munkaidõ | Budapest | T-Mobile Polska S.A.In the field of Finance, Economics, Mathematics. Statistics or related filed. · Financial institution or Telecom experience a plus · Preferably experience with Agile methodologies · Good English Oferujemy As a Data Analyst you will be required to wear multiple hats. You must have a superior blend of business
Nézze később2024. 05. 23. | Teljes munkaidõ | Budapest | UnisysKnowledge of algorithms and data structures.A solid background in statistics and/or liarity with at least one major cloud service provider (Azure, Amazon Web Services, or Google Cloud).Practical experience with Apache k learner with the ability to grasp new technologies
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