Data Science Intern

Job Description

About the Company

Campana & Schott Inc. is the New York City-based innovation hub of the Campana & Schott Group. This group is a privately held, 30-year-old management and technology consulting firm with over 400 employees across Europe and the US. The company’s mission is to create tangible results for its clients by designing digital solutions, including business transformation, digital workplace, customer insights and analytics, and by fostering novel ways of working. In the U.S., Campana & Schott specifically focuses on the healthcare and pharmaceuticals sectors, integrating digital and technology innovation with change management and transformation to drive new momentum.

The company upholds strong values:
• Passion: Approaching every project with enthusiasm, thriving on new challenges, and adopting the client’s perspective.
• Diversity: Valuing the diverse backgrounds of its employees—irrespective of nationality, family situation, sexual orientation, religion, or age—to benefit from varied perspectives.
• Respect: Treating everyone as equals, regardless of age, hierarchy, or role, fostering a first-name basis culture and mutual availability among colleagues.

Data Science Intern Job Description

Campana & Schott Inc. is seeking a Data Science Intern to join their team in New York. This role offers a unique opportunity to contribute to a dynamic and fast-paced environment, combining a start-up atmosphere with the stability of a 30-year-old successful European business.

Key Responsibilities (“Day in the Life”):
• Prototype Development: Design and build Streamlit-based components such as multi-page layouts, search filters, and smart topic views.
• GenAI Feature Development: Create GenAI-powered functionalities (e.g., summarization, semantic search, Q&A) utilizing OpenAI APIs.
• Dashboarding Contribution: Play a role in dashboarding projects (Power BI or Streamlit), encompassing both backend data work and front-end visualization.
• Code Development: Write clean, modular Python code to support internal tools and client-facing deliverables.
• Data Support: Assist with ETL tasks and data integration, including onboarding new data sources into analytics workflows.
• Collaboration & Presentation: Work directly with internal teams and client stakeholders, presenting findings and refining features based on feedback.
• Version Control & Documentation: Utilize GitHub for version control and ensure clear documentation of all work.

What’s In It For You (Benefits & Career Development):
• Dynamic Environment: Join a vibrant team in a start-up atmosphere backed by strong corporate roots.
• Career Growth: Opportunity to join a fast-growing U.S. team, take on entrepreneurial and leadership responsibilities, and influence the company’s future.
• Training & Mentorship: Access to a generous personal training budget, mentoring from senior professionals, and engagement in an active knowledge exchange with over 400 consultants worldwide.
• Work-Life Balance & Perks: Enjoy a competitive compensation package, great work-life balance, regular team events, and an annual company trip.
• Inclusivity: The company is an equal opportunity employer, committed to diversity and non-discrimination.

Preferred Qualifications:
• Education: Progress toward or recent completion of a Master’s degree in Data Science, Computer Science, Information Systems, or a related field.
• Python Skills: Strong proficiency in Python, particularly with Pandas, Numpy, and data wrangling techniques.
• UI/Dashboard Experience: Experience with Streamlit or other UI/dashboard tools (PowerBI preferred).
• Version Control: Familiarity with GitHub workflows (branches, commits, pull requests).
• Communication: Clear communication skills and the ability to effectively collaborate with stakeholders.
• Data Visualization Tools: Experience with Power BI, Tableau, or similar data visualization tools.
• GenAI Exposure: Exposure to GenAI technologies (e.g., OpenAI, Hugging Face, LangChain).
• Data Workflows: Understanding of ETL pipelines or scalable data workflows.
• Domain Interest: An interest in healthcare analytics or real-world data applications.

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