Data Scientist Intern Canada

fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Junior (1-2 years)
Work from: 

Offer summary

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 like TensorFlow or PyTorch., Familiarity with Generative AI concepts and applications., Experience working within the Azure ecosystem, including Azure Machine Learning and Cognitive Services..

Key responsibilities:

  • Collaborate with teams to design and implement AI/ML models using Python.
  • Develop and fine-tune Large Language Models for specific use cases.
  • Implement Retrieval-Augmented Generation pipelines to enhance information retrieval.
  • Analyze model performance and iterate to improve accuracy and efficiency.

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Aspire Software Large http://www.aspiresoftware.com
1001 - 5000 Employees
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Job description

Requirements

About Exeevo:

Exeevo is a global leader in customer relationship management (CRM) solutions, purposebuilt for the Life Sciences industry. Our AIpowered, cloudbased 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 ScientistArchitect)
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 cuttingedge projects involving Large Language Models (LLMs), RetrievalAugmented Generation (RAG), and Model Context Protocol (MCP) servers within the Azure ecosystem. The intern will contribute to developing AIdriven solutions that enhance customer engagement and streamline operations for Life Sciences organizations.

Key Responsibilities:

  • Collaborate with crossfunctional teams to design and implement AIML models using Python.
  • Develop and finetune 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 Masters 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 problemsolving skills and the ability to work collaboratively in a team environment.​
        • What We Offer:

          • Handson experience with stateoftheart AI technologies in a realworld 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 youre eager to apply your skills to meaningful projects and grow in a dynamic environment, we encourage you to apply for this exciting internship opportunity.


Required profile

Experience

Level of experience: Junior (1-2 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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