Data Insight & Enablement Intern

Data Insight & Enablement Intern

At Interac, we design and deliver products and solutions that give Canadians control over their money so they can get more out of life. But that’s not all. Whether we’re leading real-time money movement, driving innovative commerce solutions like open payments for transit systems, or making advancements in new areas like verification and open banking, we are playing a key role in shaping the future of the digital economy in Canada.
 

Want to make a lasting impact amongst a community of creative thinkers, problem solvers, technical gurus and high-performance application developers? We want to hear from you.

Join our dynamic and innovative Fraud Analytics team, where we are committed to safeguarding millions of Canadians from fraudulent activities across various Interac products and business. We leverage advanced data analytics and cutting-edge technology to stay ahead of fraud trends. We are looking for a talented Data Insight & Enablement Intern to drive our fraud detection efforts through actionable insights, robust data solutions, and collaborative research.

You will be responsible for providing actionable insights into rule-based fraud detection, feature development, and statistical analysis of new and existing fraud trends. You will work under general guidance of Data Specialists or Managers to identify, design, develop and support data solution for business. You will also work with the fraud teams to provide deliverables including research insights, data assets, and visualizations to help the end-user develop a better understanding of the topic.

As part of Data & Analytics, this co-op position will assist the enterprise data science and analytics enginnering functions in the development and execution of data products and services. You're great at Mining Data, identify trends, innovative, excellent communicator and quick learner

You’ll be responsible for:  

• Collaborating with subject matter experts to implement data products (reports, insights, dashboard, etc), document process and identify enhancement

• Assist in collecting, analyzing, and interpreting large datasets -identify trends, patterns, and anomalies within the data to provide meaningful insights.

• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.

• Work with Business Intelligence (BI) tools such as Tableau, Power BI, or other relevant platforms.

• Providing recommendations for process improvements based on data analysis and individual research on the latest trends.

• Documenting processes, methodologies, and insights for future reference.

• Support in developing and executing programs and initiatives to enhance data literacy and foster a culture of data-driven decision-making.

• Support in defining key initiatives, milestones, and success metrics for the implementation of the data enablement strategy.

• Support in developing resources to facilitate continuous learning and development related to data analytics and AI.

• Identify and implement improvements for existing data products to improve accuracy, usability, and performance.

• Research and develop new data science tools to improve the countermeasure process, including testing and validation.

• Conduct ad-hoc data analysis, create reports, and respond to data inquiries with actionable insights using various reporting and data visualization tools.

• Develop and test Fraud detection rules and conduct fraud trend & alert analysis

• Working with internal data and analytics consumers to deliver end-to-end data related projects

• Contributing to the development of reusable data products and services through operationalization of insights on our cloud data platform

• Building and/or deploying internal tools to solve problems or improve process

• Developing production level code to help productionizing data science research work.

• Generating new ideas, challenging the status quo, taking risks, supporting change, encouraging innovation, and solving problems creatively

• Managing deliverables and timelines for own deliverables, negotiating with internal stakeholders to meet relevant project milestones.

You bring:  

• Confidence in your ability to communicate technical/non-technical details, complex data insights and visualizations in an impactful and clear way – you are a storyteller of data

• Understanding that success is in the details. You notice things that others don't. Your critical thinking skills help to inform your decision making.

• Experience with manipulating big data using Python, SQL or similar languages for data manipulation or analysis

• Familiarity with data mining, data structures, algorithms, machine learning libraries (sklearn, xgboost) and databases such as Redshift and Oracle

• Familiarity with building and testing machine learning models on cloud platforms

• Experience in data analysis, statistical modeling, and feature development within relavent industries\

• The ability to give meaning to data. You enjoy investigating complex problems and making sense of information.

• You are a proactive problem-solver with a demonstrated track record of driving continuous improvement initiatives – you are a self starter and are able to prioritize tasks

• Currently completing an undergraduate degree from a creditable Canadian institution with a focus on business administration (information management, business, management), bachelor of science ( mechanical/electrical engineering) ; data science, data analytic.

• Although not required, you have some familiarity or previous experience with the following:

  • Familiarity with Linux-based systems, Git, PySpark, Distributed Computing and software engineering principles

  • Knowledge of data management, project management and data governance concepts

  • Interest or understanding of the banking/payments industry

  • Familiarity with risk or fraud detection context

  • Dedication to research and improve the overall analysis process and ensure data accuracy

  • Previous internship experience as a data scientist, data analyst or business analyst

Workstyle: Hybrid

Location: Toronto

Term: January to April 2025

Working Days: Monday - Friday

IMPORTANT - PLEASE NOTE:

• You must be eligible to work for Interac Corp. in Canada in a Full Time Capacity and to be eligible for Interac internship roles

• You must be currently enrolled in a Canadian post secondary academic institution.

Interac requires employees to complete a background check that is completed by one of our service providers.  We use this service to complete the following checks:

• Canadian criminal record check;
• Public safety verification;
• Canadian ID cross-check;
• 5-year employment verification;
• Education verification; and
• If applicable, Credit Inquiry and Social Media Check

How we work
We know that exceptional people have great ideas and are passionate about their work.  Our culture encourages excellence and actively rewards contributions with:

Connection: You’re surrounded by talented people every day who are driven by their passion of a common goal.

Core Values:  They define us. Living them helps us be the best at what we do.

Compensation & Benefits: Pay is driven by individual and corporate performance and we provide a multitude of benefits and perks.

Education: To ensure you are the best at what you do we invest in you