Full-Stack & Data Science Intern (M/F) 80-100% chez Groupe E SA

This job ad was AI-translated from French. See originalJob summaryShowJoin us as a Full-Stack & Data Science intern in Switzerland! Enjoy a flexible work environment and develop your skills.TasksClean data and restructure existing pipelines using SQL.Create a dashboard for visualizing transactions, preferably with Streamlit.Develop financial indicators and risk management tools.SkillsBachelor’s or Master’s in Computer Science, Data Science or Finance Engineering.Proficiency in Python and SQL is essential.Understanding of machine learning fundamentals like Scikit-learn.AI Generated SummaryIs this helpful? Full-Stack & Data Science Intern (M/F) 80-100%Active in Western Switzerland, we help our clients realize their projects by providing comprehensive, efficient, and sustainable energy solutions, whether it is electricity and heat production and distribution, electrical installations, home automation, soft mobility, air conditioning, or water treatment. As an exemplary employer, we support the skills development of our 2450 employees, including 245 apprentices, as well as the balance between private and professional life.The Electrical Energy Department operates hydraulic and thermal production infrastructures, develops production facilities from renewable energies, and ensures electricity supply under the best conditions.We offer you an internship for a fixed duration of 3-6 months to be agreed upon within the Energy Supply and Trading entity as a:Full-Stack & Data Science Intern (M/F) 80-100%Mission:Data cleaning and restructuring of existing pipelines using an SQL database.Graphical implementation of transactions through a dashboard (preferably Streamlit).Coding and implementation of financial and risk management indicators.Dynamic implementation by period (month, week, day) in a graphical matrix, allowing temporal navigation (past, present, future) with filters and drill-down.Utilization of machine learning skills to develop decision support models applicable to the foreign exchange market. (Optional)Profile:Bachelor’s or Master’s degree in computer science, Data Science, or Financial EngineeringProficiency in Python and SQL is essentialIdeally, knowledge of Plotly, JavaScript, Streamlit, PandasUnderstanding of machine learning fundamentals: Scikit-learn, clustering, etc.Experience with Github, Docker, etc.Interest in Market Finance and TradingTechnical English is essentialWhat we offer you:A dynamic and supportive environment for work-life balance.Social benefits of a modern company, equitable treatment, professional development opportunities.A strong team spirit and a proud team to collaborate with: “Together, we move towards success.”Need more information?Contact Florent Plancherel, Power Trader at 026 352 62 24Interested? We look forward to receiving your complete application by clicking the “Apply” button below.Human ResourcesEsther Berger