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Intern Data Scientist Machine Learning Jobs in Calgary, AB

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing ... operations, and data science to identify new tooling for ML and LLM-driven features for Clio ...

As a Senior AI/ML Engineer at E Source, you'll play a crucial role in our machine learning engineering team. Collaborating with data scientists and software engineers, you'll contribute to the ...

... turning machine learning models into real product experiences that customers use every day. Your ... Collaborate daily with a product manager and data scientist to shape how AI-driven insights are ...

Support a multidisciplinary team of data scientists, financial analysts, engineers, and developers ... Basic familiarity with ArcGIS Pro or ArcGIS Online through coursework or self-directed learning.

Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ... Working with our data science team to integrate ML/AI models into the platform. * Integrating ...

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

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 ...

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

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 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Accurately record data, processing parameters, and observations during and after laboratory runs ... Strong foundational understanding of chemistry, chemical engineering, polymer science, materials ...

... machine learning, data science, or advanced analytics platforms Preferred Qualifications * Demonstrated experience developing enterprise security architectures * Strong understanding of AI/ML ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

... in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning. Direct experience in data ...

Showing results 21-40

Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What job categories do people searching Intern Data Scientist Machine Learning jobs in Calgary, AB look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Calgary, AB are:
Infographic showing various Intern Data Scientist Machine Learning job openings in Calgary, AB as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Manager, Machine Learning Engineering

Clio

Calgary, AB • Remote

CA$181K - CA$272K/yr

Full-time

Medical, Dental, Vision

Posted 19 days ago


Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact. This role is available to candidates across Canada and the US.

What your team does:

We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team's goal is to deliver an incredible experience to our customers. In the AI team at Clio, we use the latest in GenAI, and LLMs in particular, along with agentic systems, to build solutions that make our customers' work more streamlined and efficient, giving them more time to focus on their clients' needs. That means going beyond single-shot model calls: we design agentic workflows where models reason over context, use tools, and take multi-step actions on behalf of legal professionals, all grounded in a customer's real data.

A day in the life might look like:
  • Lead a team of ML engineers to bring state of the art AI to Clio's clients, spanning traditional ML models, GenAI, and agentic AI.

  • Guide the team in designing and shipping agentic systems, including retrieval, tool use, orchestration, and the evaluation frameworks that keep them reliable and safe in production.

  • Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML and LLM-driven features for Clio customers.

  • Work in an agile environment with our team of ML engineers, ML ops, and full stack developers across a variety of projects

  • Learn new things, challenge yourself, and hone your craft as an ML and infrastructure expert in a space that is moving fast

  • Participate in diverse projects and collaborate with multiple engineering teams across three countries.

  • Review and provide feedback on code, both from within your own team or across all of Clio.

  • Collaborate with teams across Clio to diagnose, understand, and solve problems, and to build solutions that may span many areas.

  • Teach and learn from those around you, providing constructive feedback and taking on feedback to help grow.

What you may have:
  • Experience in managing high performing teams.

  • Experience with technical evaluations of various ML and LLM products, vendors, out-of-the-box solutions, and conducting quick proof of concepts if necessary.

  • In-depth understanding of LLMs, GenAI, and the competitive landscape, including where the technology is heading.

  • Hands-on familiarity with building agentic systems, such as tool-calling agents, RAG pipelines, prompt and context design, and evaluating agent behavior at scale.

  • Experience in fine-tuning foundational models and/or training language models in-house.

  • Experience to manipulate, clean, and pre-process complex unstructured data for model development.

  • The ability to become fluent in new technologies quickly and work effectively in an ever-evolving environment that includes distributed teams and customers.

  • Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products.

  • A diverse base of knowledge that allows you to help your team solve complex technical problems.

  • A history of past projects (including notable successes and lessons learned).

  • Clear and concise communication skills and the ability to build high-trust relationships with fellow Clions and customers.

#LI-Remote

This role is a backfill for an existing position.

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $181,360 to $272,040 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated todiversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture atclio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.