Job Description

Campana & Schott Inc. is the New York City-based innovation hub of the Campana & Schott Group, a privately held, 30-year-old management and technology consulting firm with over 400 employees across Europe and the US. We create tangible results for our clients by designing digital solutions including business transformation, digital workplace, customer insights and analytics and creating novel ways of working. In the U.S., Campana & Schott focuses on healthcare and pharmaceuticals, combining digital and technology innovation with change management and transformation to create new momentum.

We are currently looking for a Data Science Intern to join our team in New York. 

Passion
We approach every single project with enthusiasm – we thrive on new challenges and taking the perspective of our clients and their people.
Diversity
We value the diversity of the people in our company – irrespective of nationality, family situation, sexual orientation, religion, or age. Our diversity benefits us all – we want to see things from your perspective!
Respect 
We treat each other with respect and as equals – regardless of our age, position in the hierarchy, or role in the company. We’re all on first name terms and are always available for our colleagues.

• Prototype Streamlit-based components such as multi-page layouts, search filters, and smart topic views 


• Develop GenAI-powered features (e.g., summarization, semantic search, Q&A) using OpenAI APIs 


• Contribute to a dashboarding project (Power BI or Streamlit), including both backend data work and front-end visualization 


• Write clean, modular Python code to support internal tools and client-facing deliverables 


• Support ETL tasks and data integration (e.g., onboarding new sources into analytics workflows) 


• Collaborate directly with internal teams and client stakeholders, presenting findings and refining features based on feedback 


• Use GitHub for version control and contribute clear documentation of your work

Join a dynamic team with a Start-Up atmosphere supported by strong roots of 30 years of successful business in Europe. If you are looking for a fast-paced working environment with exciting and innovative mandates around business transformation and if you are enjoying working closely with great colleagues and great clients, then this is a unique opportunity for you.

Career Development
Benefit from joining our fast-growing U.S. team, take over entrepreneurial and leadership responsibilities, and shape the future of Campana & Schott Inc. In addition, take advantage of our generous personal training budget.

Professional & Personal
You can expect excellent project work and a trusting atmosphere with your colleagues supervisors.

Live Collaboration
Mentoring from senior professionals and engagement in an active exchange of knowledge with over 400 consultants worldwide in forums and special expertise groups.

Great Perks
Competitive compensation package, great work-life-balance, regular team events and an annual company trip.

All qualified applicants will receive consideration for employment without regard to age, race, creed, color, national origin, ancestry, marital status, sex, affectional or sexual orientation.

• Progress toward or recent completion of Master’s in Data Science, Computer Science, Information Systems, or related field 


• Strong Python skills (especially with Pandas, Numpy, and data wrangling)  


• Experience with Streamlit or other UI/dashboard tools(PowerBI preferred)


• Familiarity with GitHub workflows (branches, commits, pull requests) 


• Clear communication skills and ability to work with stakeholders


• Experience with Power BI, Tableau, or similar tools


• Exposure to GenAI technologies (e.g., OpenAI, Hugging Face, LangChain)


• Understanding of ETL pipelines or scalable data workflows


• Interest in healthcare analytics or real-world data applications 

Start Date : Early June 2025 preferred
Duration : Full-time internship (6 months minimum, with option to extend) 
Location : NYC office 5 days a week
Time Commitment : ~40 hours/week 
Work Authorization : No sponsorship needed for upcoming years

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