Data Scientist Intern - Canada

Requirements

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 Scientist Intern (Junior AI Data Scientist/Architect)
Location: Remote or Hybrid
Duration: September - December 2025
Compensation: Paid Internship​

About the Role:

Exeevo is seeking a passionate and innovative Data Scientist Intern to join our AI & Data Science team. This role offers a unique opportunity to work on cutting-edge projects involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers within the Azure ecosystem. The intern will contribute to developing AI-driven solutions that enhance customer engagement and streamline operations for Life Sciences organizations.

Key Responsibilities:

• Collaborate with cross-functional teams to design and implement AI/ML models using Python.
• Develop and fine-tune LLMs for specific use cases in the Life Sciences domain.
• Implement RAG pipelines to improve information retrieval and response generation.
• Integrate AI solutions within Azure services, including Azure Machine Learning and Azure Cognitive Services.
• Work with MCP servers to manage model contexts and ensure efficient deployment.
• Analyze model performance and iterate to enhance accuracy and efficiency.​

Preferred Qualifications:

• Pursuing a Master's or Ph.D. in Computer Science, Data Science, or a related field.
• Proficiency in Python and experience with machine learning libraries such as TensorFlow or PyTorch.
• Familiarity with Generative AI concepts and applications.
• Experience working within the Azure ecosystem, including Azure Machine Learning and Azure Cognitive Services.
• Understanding of LLM architectures, RAG methodologies, and MCP server functionalities.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.​

What We Offer:

• Hands-on experience with state-of-the-art AI technologies in a real-world setting.
• Mentorship from experienced professionals in the AI and Life Sciences sectors.
• Opportunity to contribute to impactful projects that drive innovation in healthcare.
• Exposure to a collaborative and inclusive company culture that values diversity and innovation.​

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.