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Data Scientist/Data Engineer

External
Full-timeOn-site3d ago
Data AnalysisLeadershipMachine LearningNumPyPandasPython
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Benefits

Accommodation benefit 100 000 HUF for 6 monthBonus programCafeteria, 13th monthly salaryCompany share programChallenging engineering and management tasks with the possibility of advancementA secure, long-term career opportunityExtensive training and development training programs focusing on personal and professional developmentSupport for going to work (car, motorcycle, scooter, free company bus service)Encouraging work environment - we value and recognize all our colleaguesContinuous health care, employee support programLife and accident insurance, sick pay supplementChristmas package, discounted meals, possibility to purchase P&G products in our factoryMany other benefits and discountsDiverse work environment that is passionate about safety and qualityClick on the Apply Now button, register, upload your resume in English!Application tips:To prepare for our online surveys and interviews, make sure you fully understand our application and selection processBUILD A CAREER AT THE P&G BUDAPEST SITE! APPLY NOW! WE CAN'T WAIT TO MEET YOU!📌 At P&G #weseeequal🌏 About P&GFor more information about our plant, brands & products, benefits, culture, facilities and other opportunities, please visit PGPlantsjob.Health insurancePerformance bonus

Additional Information

Job Location Csomor Job Description Are you excited about turning data into insights that shape real business decisions? In this role, you'll work with data from multiple sources to support analysis, reporting, and machine learning initiatives. You'll help teams understand what the data is saying, identify trends and opportunities, and build models in Python that improve decision-making. This is a hands-on position combining data preparation, analytics, and applied machine learning-delivered in close collaboration with business and technical stakeholders. Your responsibilities as a Data Scientist/Data Engineer: Supporting data analysis, reporting, and machine learning initiatives across the organization Working with data from different sources , combining, preparing, and validating datasets for analysis Cleaning, organizing, and transforming data to make it usable, accurate, and consistent Exploring datasets to identify meaningful trends, patterns, and insights that can drive action Using Python and machine learning techniques to build, test, and improve models that support business decisions Translating business questions into analytical tasks by partnering with multiple teams to understand requirements Presenting findings and recommendations in a clear, structured, and understandable way to both technical and non-technical audiences We are looking for YOU if: You have good knowledge of Python and can apply it confidently to real datasets You have an understanding of machine learning concepts and how models can be used in business contexts You have experience with data analysis libraries such as pandas, NumPy , or similar tools You are able to clean, organize, and analyze data with attention to detail and data quality You bring strong problem-solving skills and can work through ambiguous questions systematically You have good communication skills , including the ability to explain results clearly You can work effectively independently and also thrive in a collaborative team environment Job Qualifications


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