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Fpcm: internship in digital transformation & data analysis

Madrid
Fundación Parque Científico De Madrid
Publicada el 13 marzo
Descripción

FPCM: Internship in Digital Transformation & Data AnalysisThe Parque Científico de Madrid is a non-profit public foundation created by the Autonomous University (UAM) and Complutense University of Madrid (UCM) to promote innovative scientific-technological entrepreneurship. We support emerging (startups) and growing (scaleups) companies based on cutting-edge technologies that aim to solve social challenges (deep tech). Through value-added services, top-level facilities, and a wide network of ecosystem collaborators, we help these companies bring their solutions to society and improve people's lives with their products and services.

We are a multidisciplinary science park that incubates companies from diverse fields such as precision medicine, nanomaterials and advanced materials, remote sensing, AI, big data, nutrigenomics, genetic diagnostics, optics, environmental engineering, renewable energy. Our Genomics Unit offers specialized services to research groups from universities, R&D&i centers, hospitals, and companies inside and outside the Park. Among other projects, we are partners of the Enterprise Europe Network (EEN), the largest global network supporting companies seeking international markets, and the ESA BIC Madrid Region, from the European Space Agency, which transfers innovations developed for the space sector to non-space applications.

We are backed by an excellent Board of Trustees made up of UAM, UCM, CSIC, the Community of Madrid, and the Madrid City Council. More information about FPCM can be found at this link .

Are you interested in applying your knowledge in data analysis and digital processes in a scientific and technological innovation environment?Join the team at Parque Científico de Madrid (PCM) and contribute to designing and implementing tools that improve efficiency and strategic decision-making in a unique ecosystem of deeptech and advanced innovation companies.

Digital Transformation of PCM: Process Optimization and Data Intelligence to Boost Deeptech Innovation

What we offer

Professional internships. From 3 to 6 months (depending on student availability).

Schedule: 4 h/day between 9:00 and 16:00 (Mon-Fri), adaptable to student conditions.

Start date: immediate, from June 15 .

Responsibilities :

Analyze internal processes of the business development area and identify improvement opportunities.

Design interactive dashboards on key indicators of the PCM ecosystem.

Structure useful databases to track resident and collaborating companies.

Automate tasks and reports to improve PCM's operational efficiency.

Support the deeptech business acceleration strategy by identifying behavior patterns and common needs.

Present a final report with learnings, results, and recommendations.

Social Security coverage.

Study grant: €400 gross/month for 20 weekly hours.

What we are looking for

Undergraduate or master's student in Engineering, Data Science, Mathematics, Computer Science, Industrial Organization, Business Administration with a specialization in Business Intelligence or related fields .

Knowledge of data analysis tools (Power BI, Looker Studio, advanced Excel, etc.).

Interest in innovation, deeptech startups, and process improvement.

Analytical, proactive profile with a results-oriented mindset.

Skills you will develop:Generic:

Analytical thinking

Organization and autonomy

Effective communication

Teamwork

Specific:

Data visualization and analysis

Process optimization

Automation of reports and tasks

Competitive intelligence in technological environments

Knowledge of innovation and deeptech ecosystems.

ApplicationsInterested candidates should send their CV and a brief motivation letter to empleo@fpcm.es with the subject FPCM Internship Desarrollo de Negocio (Transformación Digital & Análisis de Datos).

The start date will depend on the existence of a valid agreement between the student's university and FPCM. If no agreement exists, one must be established before the internship begins.

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