Data Science Internship

Who is AiDash? AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at 

What will you do?

• Participate in the development and implementation of AI models focused on image processing and computer vision to analyse satellite imagery and generate actionable insights.
• Collaborate with the data science team to enhance existing models and develop new techniques using the latest in Generative AI and Deep Learning.
• Conduct research and apply advanced mathematics concepts (Probability, Statistics, Linear Algebra, Permutation and Combination, Epipolar Geometry) to improve model accuracy and efficiency.
• Work closely with cross-functional teams to understand project requirements and deliver solutions that meet business needs.
• Document and present findings and progress to technical and non-technical stakeholders.

What are we looking for?

• Currently enrolled in or a recent graduate of a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, or a related field.
• Strong foundation in mathematics, especially in Probability and Statistics, Linear Algebra, Permutation and Combination, and Epipolar Geometry.
• Hands-on experience with image processing, computer vision, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with the latest Generative AI technologies and their applications.
• Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, OpenCV).
• Excellent problem-solving skills and the ability to work independently as well as part of a team.
• Strong communication skills to effectively articulate complex technical concepts.