• Internship
  • Montreal


Flinks is a data company that empowers businesses to provide better financial services to consumers, by connecting users’ bank accounts, providing financial insights and credit risk intelligence. Driven by the belief that data should belong to consumers, Flinks connects to over 250 million financial accounts. Trusted by hundreds of world-class companies, Flinks helps them digitize their processes, improve their user experience and reduce delinquency.

At Flinks, we work to create the future with passion, ambition and at times a bit of an obsession. We see ourselves as builders in an industry in dire need of change, enablers making deliberate choices together, and pathfinders taking the risks we deem necessary. In the end, it comes down to 4 core values: Audacity, Autonomy, Learning, and Profitability.

Have the opportunity to work from the comfort of your own home (remote) until the end of the pandemic. Once the COVID is over, you will have the freedom to work from our head office (1001 Lenoir Street) that is located in the trendy and historic St-Henri neighbourhood in southwestern Montreal; which is surrounded by numerous coffee shops, restaurants, and a gym within the same building! We also have a beautiful office located in Toronto (200 Adelaide Street).

While the list of perks of working with us can be quite long, we can start with this one: access to 5-star team members, very driven and ready to go the extra mile. Want to be part of the decision making? Come and join a work environment that encourages and promotes initiatives and leadership; dare to work with that mindset and you’ll be well rewarded (competitive compensation)!


As a Data Science Intern, you will enhance the value of financial data at Flinks by analyzing large amounts of raw information to find patterns. You will also help build data products to extract valuable business insights.

Main Responsibilities

Review current models’ predictions
Train NLP models on SageMaker
Ad-hoc analyses using BigQuery or Python
Clean & update training data through manual labeling
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modelling
Present information using data visualization techniques
Propose solutions and strategies for business challenges
Collaborate with engineering and product development teams


If you see yourself in the following 4 characteristics, and in Flinks’ definitions of them, you may want to get in touch:

Coachability: the ability to absorb and apply coaching
Intelligence: the ability to apply causal reasoning
Problem-solving: the ability to find solutions through effective researching
Work ethic: proactively pursuing the dev team mission with a high degree of energy and daily activity

To apply for this job please visit flinks.bamboohr.com.