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Internship Data Scientist Risk Jobs in Calgary, AB

Delivery Engineer - Canada

Calgary, AB · Remote

CA$80K - CA$120K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... data technologies, or machine learning through coursework, internships, or project experience is a ...

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... data technologies, or machine learning through coursework, internships, or project experience is a ...

Wildlife Biologist

Calgary, AB · On-site

CA$32 - CA$42/hr

... science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate risk and protect the air, water and soil that sustain communities, while uncovering ...

... science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate risk and protect the air, water and soil that sustain communities, while uncovering ...

... monitoring, data handling and third-party risk. * Advance risk and compliance by developing ... Degree or technical diploma in IT, cybersecurity, computer science, or a related field, with 8+ ...

Alignment with TCFD, ESG and other climate risk frameworks is critical part of our business, and ... Developing and maintaining data management systems and business intelligence tools * Communication ...

Alignment with TCFD, ESG and other climate risk frameworks is critical part of our business, and ... Developing and maintaining data management systems and business intelligence tools * Communication ...

Alignment with TCFD, ESG and other climate risk frameworks is critical part of our business, and ... Developing and maintaining data management systems and business intelligence tools * Communication ...

Alignment with TCFD, ESG and other climate risk frameworks is critical part of our business, and ... Developing and maintaining data management systems and business intelligence tools * Communication ...

Senior GIS Analyst

Calgary, AB · On-site

CA$95K - CA$125K/yr

... science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate risk and protect the air, water and soil that sustain communities, while uncovering ...

... data, and scientific expertise. As part of Total Specific Solutions (TSS) and the broader Vela ... Ensure HR governance, compliance, and risk management practices are effectively executed.

Showing results 41-60

Internship Data Scientist Risk information

What does an internship data scientist risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What are the key skills and qualifications needed to thrive as an internship data scientist risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

What types of projects can an internship data scientist risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.
Infographic showing various Internship Data Scientist Risk job openings in Calgary, AB as of June 2026, with employment types broken down into 69% Full Time, 26% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Delivery Engineer - Canada

DataVisor

Calgary, AB • Remote

CA$80K - CA$120K/yr

Full-time

Medical, PTO

Re-posted 14 days ago


Job description

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:

We are seeking a Delivery Engineer to join our Delivery team. The ideal candidate will lead client communications and drive end-to-end project delivery, while designing and implementing innovative integration solutions that meet both technical and business requirements.This role requires close collaboration with clients, sales teams, and internal stakeholders to ensure successful project outcomes. As a technical delivery leader, the TPM will own and manage all engineering work streams, coordinating across teams to keep projects on schedule and aligned with scope. The role is hands-on, requiring the ability to contribute directly to technical implementation and problem-solving as needed.

Key Responsibilities:

  • Manage and drive client communications throughout the entire project delivery, align different client stakeholders, ensure project is delivered successfully without delay.
  • Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
  • Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
  • Take the project management role to ensure the client onboarding project runs as expected and under control.
  • Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
  • Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
  • Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
  • Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Requirements

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering or a related field is required; a Master’s degree in a business-related discipline (e.g., MBA, MIS, Information Systems, Management, or Analytics) is preferred.
  • Basic understanding of software development, system architecture, and system integration concepts; exposure to SaaS platform data integration is a plus.
  • Strong verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.
  • Enjoys working with clients and stakeholders, with a service-oriented mindset and interest in client-facing responsibilities.
  • Ability to work collaboratively in a team environment and support multiple projects under guidance and supervision.
  • Demonstrates strong problem-solving skills, attention to detail, and a willingness to learn in a fast-paced environment.
  • Familiarity with anti-fraud concepts in the financial services or internet industry is a plus.
  • Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus.

Benefits

1. Health Insurance, PTO, stock option

2. The expected salary range for this role is CAD $80,000 – $120,000 per year, depending on experience, qualifications, and location. Final compensation will be determined based on job-related skills and business needs