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.
Work on Clios 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 Clios 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 Clios internal data science playbooks templates and best practices
Supporting ad-hoc data requests or mini-projects from Product Marketing or Customer teams
Youll be part of a collaborative team that values curiosity continuous learning and the ethical use of AI and data. Youll 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.
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)
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 detailwhether its catching an unexpected outlier in a dataset spotting inconsistencies in SQL logic or flagging edge cases in a models output.
This role is human-centered and requires empathy for Clios customers curiosity about the legal industry and a strong sense of ethical responsibility when working with real-world data.
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
What you will find here:
Compensation is one of the main components of Clios 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.
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.
Disclaimer: We only communicate with candidates through official @ email addresses.
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