Next-Generation Data Scientists to Test Their Skills in Real-World AI Applications
OTTAWA, ON, May 27, 2025 — MindBridge, the leader in AI-powered financial decision intelligence, is launching a Data Science Challenge in partnership with Carleton University. Aimed at fostering the next generation of data scientists, the competition invites graduate and undergraduate students in a technical discipline (e.g., data science, computer science, science, engineering) to solve a real-world financial analytics problem using advanced techniques in data science and artificial intelligence.
The initiative is part of MindBridge’s ongoing commitment to support the academic community and nurture emerging talent poised to shape the future of the finance industry.
“Today’s students are tomorrow’s industry leaders,” said Robin Grosset, Chief Technology Officer at MindBridge. “Through this challenge, we’re offering aspiring data scientists a chance to engage with meaningful, real-world problems, demonstrate their ingenuity, and accelerate their path into the AI and finance sectors.”
The competition begins on Wednesday, May 28, with a MindBridge-hosted lecture on outlier analysis, an advanced technique for detecting unusual patterns in financial data. Immediately following the session, participants will receive access to the challenge dataset and materials.
Over the next eight weeks, participants will write code and build solutions aimed at uncovering financial irregularities within the dataset – mirroring the kinds of analytical work performed in cutting-edge financial audits and risk assessments.
“This challenge represents an exciting opportunity for our students to apply what they’ve learned in the classroom to complex, real-world data problems,” said Olga Baysal, Director of the Institute for Data Science at Carleton University. “Collaborating with an industry leader like MindBridge gives our students firsthand experience in the practical application of data science, while also helping them build the skills and confidence they need to become tomorrow’s innovators in the finance and technology sectors.”
Challenge Details:
- Eligibility: Open to all data science, science, computer science, engineering graduate and undergraduate students from Carleton University.
- Start Date & Lecture: Wednesday, May 28, 2025
- Duration: 8 weeks
- Submission Deadline: Wednesday, July 23, 2025, at 11:59 p.m.
- Winners Announced: Wednesday, August 6, 2025
Prizes & Career Opportunities
Submissions will be evaluated based on performance, creativity and innovation, as well as communication and presentation. Top entries will receive the following awards:
- 1st Place: MacBook Pro
- 2nd Place: iPad Pro
- 3rd Place: iPad
Winners will also be offered guaranteed interviews for a paid internship at MindBridge in Ottawa, Ontario.
About Carleton University
Carleton University is located in Ottawa, Canada. Founded in 1942, Carleton is a dynamic, research-intensive university with a proven commitment to teaching and learning. Carleton offers more than 170 undergraduate and graduate programs across a wide range of disciplines. Carleton’s location in Canada’s capital city gives our students unique opportunities to learn and work in a vibrant, multilingual and multicultural environment. Carleton has an international reputation for excellence in research and teaching, and our faculty are known for their dedication to student success. Learn more at https://carleton.ca/.
About Carleton University
Carleton University is located in Ottawa, Canada. Founded in 1942, Carleton is a dynamic, research-intensive university with a proven commitment to teaching and learning. Carleton offers more than 170 undergraduate and graduate programs across a wide range of disciplines. Carleton’s location in Canada’s capital city gives our students unique opportunities to learn and work in a vibrant, multilingual and multicultural environment. Carleton has an international reputation for excellence in research and teaching, and our faculty are known for their dedication to student success. Learn more at https://carleton.ca/.
