Invent - Intern - Data Engineering with Life

Vor 2 Tagen

Zurich, Schweiz Capgemini Vollzeit

Be part of our journey

As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in nearly 40 studios and more than 60 offices around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences, and business models for sustainable growth.

To strengthen our Life Sciences team, we are immediately looking for an Intern Data Engineering with Life Sciences Background - (M/F/d) for a period of 6+ months.
- Be the change: As the innovation and transformation powerhouse of Capgemini, you will support our clients through innovative strategy projects around digital, future-proof topics that challenge and transform the status quo.
- Dynamic atmosphere: We offer you entrepreneurial freedom and a collaborative atmosphere within a large company where your opinion is valued and will have a strong impact - for our clients, society, and yourself.
- Growth and development: Career pathways are transparently communicated, and we offer you the chance to develop personally, such as through our onboarding training program “the institute” or other tailored training programs within a global network of experts.
- Work-life balance: We safeguard work-life balance through a flexible office - / home ratio and our Capgemini well-being hub.
- Team spirit and community: Our regular team and company events allow to connect in an informal and personal way.
- Diversity & Inclusion: We believe that diversity is our greatest strength. Our long-standing corporate culture is open minded and internationally oriented. We are all role models of empowerment, empathy, and respect.
- Bring to life what's next
- Collaborate with the team to develop effective and engaging presentations for clients.
- Develop storylines that effectively communicate complex data analysis to a non-technical audience.
- Work with team members to create compelling data visualizations that support the storylines of presentations.
- Build and maintain data pipelines and workflows using programming languages such as Python, R or Java, and related tools such as Airflow, Luigi, or Jenkins.
- Develop and maintain scripts to automate data processing tasks.
- Collaborate with data scientists and data analysts to ensure data accuracy, completeness, and quality.
- Build and maintain data storage and retrieval systems (e.g. data warehouses) to enable efficient data management.
- Assist with data cleaning, processing, and analysis tasks as required.
- Assist with the development and implementation of data management and governance frameworks.
- Continuously evaluate and improve presentation and storyline effectiveness based on client feedback.
- Participate in team meetings and collaborate with team members to ensure timely and effective project delivery.
- Your qualifications
- Academic excellence: currently pursuing or recently graduated with a degree in Life Sciences, Bioinformatics, Computer Science, or related fields.
- Consulting experience: previous experiences in consulting favorable.
- Conceptual talent: strong analytical and problem-solving skills. Ability to work independently and as part of a team in a fast-paced environment.
- Communication and presentation skills: fluent in English (written and spoken). German (Zurich/Basel) or French skills (Lausanne/Geneva) mandatory (C1 level). Strong communication skills and proficiency in presentation software such as PowerPoint, Prezi, or other relevant tools.
- Digital affinity: strong programming skills in Python, R. Familiarity with data visualization tools such as Tableau or Power BI is a plus.
- Cultural fit: high reliability, team spirit and personal fit for a leading global management consulting firm (international orientation & openness to travel, integrity).
- Duration of employment: min. 6 months

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