Data Science Intern
İş təsviri və tələblər
"PAŞA Sığorta" ASC invites candidates to apply for the position of Data Science Intern to become a member of the professional team. Requirements and skills: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. Proficiency in programming languages such as Python and R, and familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Knowledge of machine learning algorithms, statistical modeling, and data visualization techniques. Strong communication skills with the ability to present complex concepts to technical and non-technical audiences. Analytical thinking skills. Familiarity with NLP and text analytics. Previous experience or project experience in data analysis is preferred but not required. *Only candidates meeting the initial selection criteria will be contacted.
Vəzifə öhdəlikləri
"PAŞA Sığorta" ASC invites candidates to apply for the position of Data Science Intern to become a member of the professional team. Responsibilities: Collect and combine data from various sources, ensuring accuracy and completeness of data. Clean, preprocess, and transform data for analysis. Conduct data analysis to identify trends, patterns, and insights. Employ statistical and analytical methods to interpret data. Automate report generation to reduce manual work and increase efficiency. Work closely with business stakeholders to understand their requirements and ensure dashboards meet their needs. Gather feedback and make necessary adjustments to dashboards and reports. Create clear and engaging data visualizations to convey key findings and insights. Utilize best practices in data visualization to ensure accurate and effective data presentation. Provide explanations for the necessary functions when explanations regarding produced analyses are needed. Document the processes, methodologies, and tools used for creating analyses. Provide training and support to help them effectively use the produced analyses. Ensure compliance with data management policies and procedures during data management and visualization. Ensure the protection of sensitive information, maintaining data security and confidentiality.
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