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Analytics & AI Internship

Indeed
Full-time
Onsite
No experience limit
No degree limit
Av. Diagonal, 533, Les Corts, 08029 Barcelona, Spain
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Description

Job Summary: We are seeking a dynamic and eager-to-learn intern to collaborate on advanced analytics projects and artificial intelligence model development within the Analytics & AI team at ThinkUPC. Key Highlights: 1. You will collaborate on advanced analytics and AI projects. 2. You will gain hands-on experience in a continuous learning environment. 3. You will be part of an expert team with professional growth opportunities. Do you consider yourself dynamic and eager to learn? Do you enjoy collaborating and working in a team? Are you passionate about technology? If you are eager to apply your knowledge and participate in a real-world project, don’t hesitate to apply—we’re looking for someone just like you! **Our Offer** We are the advanced digital consulting and services company of the Universitat Politècnica de Catalunya (UPC). We provide UPC with ICT services characterized by maximum reliability, cost-effectiveness, and constant evolution to support the University’s strategic objectives. We combine knowledge generated at UPC with the talent and expertise of our team—comprising over 250 engineering and consulting professionals—gained through more than 20 years of work on projects and with leading companies. We foster the growth of our team members so they become tomorrow’s technological leaders—within a positive work environment and flexible conditions. **Your Challenge** As an intern in the Analytics \& AI team at ThinkUPC, you will collaborate on advanced analytics projects and artificial intelligence model development. You will participate in activities ranging from data extraction to algorithm development, gaining practical experience and enhancing your skills in a continuous learning environment. **Requirements** * Education: + Currently pursuing a Bachelor’s degree in Data Science or Computer Engineering. + Currently pursuing a Master’s degree related to Data Science or Artificial Intelligence, having previously completed a Bachelor’s degree in Computer Engineering, Data Science, or Mathematics. * Knowledge: + Basic knowledge of Python. + Machine learning techniques and data analysis algorithms. + Experience using SQL databases. + Intermediate level of English, both spoken and written. * Competencies: + Eagerness to learn + Dynamism + Ability to work collaboratively and strong willingness to learn in a team-oriented environment. * Availability: Morning shift * Possibility of signing a university internship agreement. **You’ll Stand Out If** * Experience with data visualization tools (Power BI, Tableau). * Prior experience using work environments such as Jupyter Notebooks or Google Colab. * Familiarity with deep learning techniques and neural networks. * Prior experience or knowledge of agile methodologies (Scrum, Kanban). * Strong analytical ability and attention to detail. * Front-end/back-end integration mechanisms via REST APIs. **How ThinkUPC Cares for You** Professional Growth: Being part of an organization comprising nearly 250 expert engineering and consulting professionals collaborating on challenging solutions will allow you to maximize your technical knowledge. Participate in our "Professional eXperience" program: * Actively contribute to real-world, cutting-edge projects where you can apply the knowledge acquired during your studies. * Receive training designed to help you develop new skills and knowledge. * Be assigned a mentor who will support you throughout your internship to facilitate your professional growth. * Flexible working hours—morning shift: some flexibility in start and end times to accommodate your studies. ✍️Special leave arrangements to prepare for and take your exams. Possibility of completing your Final Degree Project (TFG) or Master’s Thesis (TFM) with us. Opportunity to continue as part of the team after completing your internship. Paid internship. Would you like to join us on this adventure?

Source:  indeed View original post
David Muñoz
Indeed · HR

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