Data Science Intern

About Exeevo:

Exeevo is a global leader in customer relationship management (CRM) solutions, purpose-built for the Life Sciences industry. Our AI-powered, cloud-based platform unifies sales, marketing, medical, and service functions, enabling pharmaceutical, biotech, and medical device organizations to connect with stakeholders in transformative and innovative ways. By leveraging advanced technologies, Exeevo empowers Life Sciences companies to redefine how they engage with healthcare professionals, patients, and other key audiences, driving growth and delivering measurable business impact.

Serving thousands of users across pharmaceutical and medical device companies globally, Exeevo has a strong international presence with offices in China, India, Europe, and North America.

Requirements

Position: Data Science Intern (Junior AI Data Science Engineer/Architect)
Location: Remote or Hybrid
Duration: January- April 2026
Compensation: Paid Internship​

About the Role:

We are looking for a highly motivated and technically proficient student to join our team as a Machine Learning Engineering Intern. This role offers the opportunity to gain hands-on experience in building and deploying production-ready data pipelines and ML models in a cloud environment, providing a robust foundation for a career in MLOps and Data Science.

Key Responsibilities:

The intern will focus on the technical implementation and operational aspects of our data and ML systems:

• Data Pipeline Development: Assist in the development and maintenance of Python data pipelines and ETL processes utilizing key libraries like pandas and NumPy.
• ML Model Support: Support the team in building, training, and testing machine learning models using scikit-learn and other ML frameworks for core analytical tasks.
• Database Operations: Write and optimize SQL queries for data extraction, manipulation, and analysis to support modeling and reporting efforts.
• API Implementation: Contribute to the development and maintenance of REST APIs using modern Python frameworks like FastAPI or Flask for serving model predictions and data access.
• Cloud Infrastructure: Assist in leveraging Azure cloud services (storage, compute, ML services) to support model deployment and infrastructure tasks.
• Data Analysis: Perform exploratory data analysis and apply statistical concepts to understand dataset characteristics and validate hypotheses.

Required Qualifications

Current Enrollment: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.

Programming: Foundational to strong proficiency in Python and experience with data manipulation libraries (pandas, NumPy).

Database: Solid understanding of relational databases and the ability to write intermediate to advanced SQL queries.

Machine Learning: Coursework or project experience in Machine Learning concepts (e.g., supervised/unsupervised learning, feature engineering, model evaluation).

Statistics: Understanding of fundamental statistical concepts (e.g., hypothesis testing, distributions, regression).

API/Web: Basic familiarity with the concept of REST API design and experience or coursework with a framework like FastAPI or Flask is a plus.

Cloud: Familiarity with the basic concepts of cloud computing; exposure to Azure services is beneficial but not required.

Application Process:

Interested candidates should submit their resume, a cover letter detailing their interest and qualifications, and any relevant project portfolios or GitHub repositories. Applications will be reviewed on a rolling basis until the position is filled.​

Join Us: At Exeevo, we believe in the power of technology to transform the Life Sciences industry. If you're eager to apply your skills to meaningful projects and grow in a dynamic environment, we encourage you to apply for this exciting internship opportunity.