Business Operations Co-op

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:

This role will work closely with Data Scientists on the Data Insights team at Clio with a high level of mentorship and technical guidance. Analytical decisions and modeling approaches will typically be made in collaboration with senior team members.

Role Expectations:

• Work on Clio’s Data Insights team and gain exposure to how data science shapes product strategy, customer experience, and business decisions.

• Partner with Data Scientists and cross-functional teams to contribute to Clio’s mission to transform the legal experience for all.

• Support data-driven projects and lead smaller analyses independently. This work could include:

• Assisting in exploratory data analysis to uncover product usage patterns, trends, or anomalies

• Preparing datasets using Python and SQL for modeling, reporting, or dashboarding

• Supporting the development and evaluation of machine learning models (e.g. churn prediction, user segmentation)

• Running A/B test analyses and helping summarize experimental outcomes

• Building and updating dashboards, slide decks, or notebooks to present findings

• Maintaining project tracking tools like dbt, GitHub, or internal documentation

• Participating in sprint ceremonies, code reviews, and team knowledge shares

• Contributing to Clio’s internal data science playbooks, templates, and best practices

• Supporting ad-hoc data requests or mini-projects from Product, Marketing, or Customer teams

• You’ll be part of a collaborative team that values curiosity, continuous learning, and the ethical use of AI and data. You’ll leave this co-op with hands-on experience in applied data science and an understanding of how data drives business value at a high-growth SaaS company.

Required Technical Skills:

• Ability to work collaboratively on a cross-functional team including Data Scientists, Engineers, Product Managers, and Designers

• Analytical mindset (Critical thinking, curiosity, and a strong ability to break down complex problems using data)

• Proficiency in Python and SQL for data exploration, analysis, and basic modeling

• Comfortable using data notebooks (Jupyter, Colab) and version control tools (GitHub)

• Familiar with spreadsheet tools and able to organize findings clearly in Excel or Google Sheets

• Ability to document analysis clearly and communicate results through visualizations or slides

• Bonus: Experience with A/B testing, basic machine learning libraries (e.g. pandas, scikit-learn, or XGBoost), or data storytelling tools (e.g. Looker Studio, Tableau, Seaborn)

Key Traits for Success:

• This role requires a learning mindset and a genuine enthusiasm for experimenting with new tools, techniques, and problem domains.

• This role calls for resourcefulness and initiative, especially when navigating ambiguous datasets or scoping your own analysis.

• This role demands a keen eye for detail—whether it’s catching an unexpected outlier in a dataset, spotting inconsistencies in SQL logic, or flagging edge cases in a model’s output.

• This role is human-centered and requires empathy for Clio’s customers, curiosity about the legal industry, and a strong sense of ethical responsibility when working with real-world data.

Job Requirements:

• A 1st year Masters Data Science student or a fourth year undergrad student, enrolled in a co-op program

• Focus on data science, statistics, machine learning

• Available for an 8 month co-op term (May to December)

• Based in Toronto, Vancouver, or Calgary

This is a new role.

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:

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

• 4% vacation pay for hours worked.

The expected new hire base pay for this role is $46,000 CAD.

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

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, 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 at clio.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.