Data Science Intern

Encontrado en: beBee jobs ES - hace 2 semanas


Cornellà de Llobregat, Barcelona, España SMARTCIC Global Services A tiempo completo

Data Intern

Responsibilities:

Conduct advanced R-based modeling for comprehensive data analysis, specifically tailored to a data-driven business in the telecommunications sector. This includes predictive analytics to enhance customer insights and network performance.Develop and refine prediction algorithms to improve the efficiency of existing models in managing virtual network operations. This includes optimizing resource allocation and predicting network demand.Experiment with a range of statistical and machine learning models, including but not limited to KNN (K-nearest neighbors), NN (neural networks), and hierarchical models, to address complex problems in data analysis and prediction accuracy.Collaborate closely with IT and Pricing teams to align data science strategies with business objectives. This involves the integration of data science models into business decision-making processes, emphasizing meticulous attention to detail.Lead initiatives to identify and implement improvements in the efficiency and effectiveness of existing predictive models, contributing to the overall optimization of business operations.Analyze large datasets and articulate the results clearly and effectively, utilizing advanced data visualization tools such as Tableau or Power BI to create insightful reports and presentations for stakeholders.Participate in the development and deployment of R-Shiny applications, enabling interactive data exploration and visualization to support decision-making processes. Requirements: Currently enrolled as a student in Mathematics, Statistics, Applied Statistics, or Data Science, with a strong academic record.Solid foundation in statistics and proficiency in programming with R, including a deep understanding of R's statistical and machine learning packages.Demonstrated experience in using machine learning algorithms for data analysis and model development. This includes practical application of models in real-world scenarios.Strong in Python (and R) , with a focus on optimizing Python functions for data analysis and model development. This includes experience with Python's data science libraries (e.g., pandas, NumPy, scikit-learn).Strong skills in data visualization and reporting, with experience in using tools like Tableau or Power BI to create dynamic reports and dashboards.Strong knowledge of SQL.Interest in financial modeling and experience with developing pricing models to support business objectives. This includes understanding the principles of pricing strategy in the context of the telco sector.⁠Keen interest in developing frontend applications for data presentation, particularly using R-Shiny, to facilitate interactive data exploration and visualization.Excellent problem-solving skills, with the ability to work independently and in team settings. Strong communication skills are essential for presenting complex data in an understandable manner to non-technical stakeholders.Advanced level of English
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