The University of Toronto School of Cities is pleased to announce the launch of the Urban Data Science Corps (UDSC) pilot in the summer of 2022.
This new internship program is offered by the School of Cities. The Urban Data Science Corps is an opportunity for U of T students interested in data and data science to work with real data issues in the public and non-profit sectors giving them experience and an opportunity to explore data science as a career path.
The following are types of data research skills that students might be required to have knowledge in and/or work on:
- Data cleaning and wrangling
- Database management
- Knowledge of Excel, Python R and/or SQL languages
- Familiarity with ArcMap, QGIS, or other GIS programs for spatial analysis
- Familiarity with Salesforce or Quickbooks
- Descriptive statistics
- Data visualization
- Statistical and regression analysis
Summer interns will work with organizations in building their capacity to collect, manage, and analyze their own data.
All internships will run from May through August for a 10- to 12-week period and students will be paid up to $7,200 for the program period.
The School of Cities (SofC) will conduct a Data Bootcamp on May 2-4, 2022 to introduce and review the skills you will be expected to use as an intern. There will be monthly check-in workshops that interns are expected to attend, and all interns will have a faculty mentor assigned to them for support. Faculty mentors will hold weekly office hours during the internship for mentorship and check-ins. The School of Cities will coordinate training activities with the Data Sciences Institute.
How it works:
- Review all SofC research opportunities listed with their job descriptions
- Pick your top three choices and apply online
- SofC selection committee will review all applications and match the student with the placement opportunity
- Students attend Data Bootcamp in May 2022
- Students attend mid-term workshops/check-ins (once a month)
- Opportunity to present research projects at the student showcase in August 2022
- How and when can I apply for the Internship?
A link to the application will be posted on this site beginning January 20, 2022.
- Do I need a background in data to apply?
Yes – you should have a solid understanding of the technical requirements listed in the job descriptions
- Can I choose which work placement I get?
You can select your top three work placements. You will then be interviewed by one or more people from the SofC selection committee, and the committee will match students with the placements.
- How many positions can I apply to?
You can apply to a maximum of 3 positions via the online form here.
- Do I need to stay in touch with the faculty mentor?
It is to your advantage to have a faculty mentor during the summer placement. The mentor will have set office hours for meetings.
- Applications to summer research opportunities close on February 7, 2022.
- Data Bootcamp May 2-4, 2022
- Student showcase August 2022
Canadian citizen, permanent resident of Canada, or a foreign student with a valid student visa for the full summer term
Registered (at the time of application) as a full-time U of T student in a bachelor’s degree or professional undergraduate degree program at a Canadian university/college.
Summer Internships 2022
Building Up is a non-profit social enterprise and pre-apprenticeship program, located in Toronto, which aims to support marginalized individuals in building sustainable careers in the construction trades. This organization needs a data science intern to help clean up their database, with projects mainly consisting of converting data from Google Sheets to Salesforce. The intern will also help with data visualization and analyzing the converted data. The intern should have prior knowledge and skills in Google Sheets and/or Excel, with an understanding of, or background in statistics, economics, or data science. Any knowledge of or interest in learning Salesforce is desirable.
Second Harvest is Canada’s largest food rescue organization that attempts to capture surplus food from ending up in the landfill. They are located in Toronto and are looking for a data science intern to help with data collection to better understand food waste through data and statistics. This internship position will mostly consist of cleaning up historical data from Excel and helping create a database for the organization. Knowledge of Excel and Python are required, and knowledge of R and/or SQL languages are preferable for this position. This internship also includes opportunities for data visualizations projects. Second Harvest is looking for 1-2 interns, depending on the skillsets and experience of applicants.
Maximum City brings together a multidisciplinary team to provide learning and engagement about urban related topics such as climate change and is located in Toronto. The organization is looking for a data science intern to help with spatial analysis of data that has previously been collected, to better understand how the COVID-19 pandemic has affected how children and youth in Canada play and engage in physical activity. Within this project, the intern would be analyzing how the role of the neighborhood environment reflects upon healthy movement behaviors and well-being. Another possible project relates to children’s independent mobility in the time of COVID-19. Additional projects related to these topics may arise as necessary. Interested students should have knowledge or familiarity of ESRI files, or a background in GIS. Any skills or previous experience in regression analysis and spatial analysis would be an asset.
Women’s Support Network was established in 1992 with a mission statement to eradicate sexual violence. Their catchment area includes 9 municipalities which comprise York Region and the admin office is located in Newmarket, Ontario. They are looking for a data science intern with knowledge in Excel and the ability to turn spreadsheets into reports. The intern also has the opportunity to work on infographic projects. Preferable skills include the ability to convert data into written format, categorizing data, data visualization and knowledge in Salesforce. A student with an understanding of diversity, equity and inclusion topics would be desirable for this position.
The Al & Malka Green Artists’ Health Centre is part of the Family and Community Medicine Department at Toronto Western Hospital, University Health Network. The Centre is an integrative outpatient clinic serving the entire artistic community, offering both medical and complementary care. The Centre is looking for a data science intern to help lead the design, structure and standardization of the application and data storage processes of the subsidy program for artists, and in building these databases. The Intern will have the opportunity to develop leadership, communication, decision-making, and critical thinking skills. This position requires skills in data analysis and Excel. The position has flexibility for in-person or remote opportunities.
The Black Speculative Art Movement (BSAM) Canada launched at OCAD University in 2016. They are a non-profit organization with a focus to create a collaborative and supportive platform that can empower, elevate and evolve Black creatives and organizations who work within the respective fields of the speculative arts. BSAM Canada has several ongoing projects which would require the intern to compile a database from their existing budget sheets. Knowledge in Google Sheets and building a database is required. Any understanding of QuickBooks is helpful. The intern will have the opportunity to showcase skills in data visualization. Preference will be given to a student who identifies as BIPOC.
The City of Toronto’s Transportation Data & Analytics Unit was established in 2019 and acts as a hub for data analytics, data science, data collection and data management within the City's Transportation Services Division. They are looking for a data science intern for the summer to work on Toronto transportation related projects. Working knowledge of Python and SQL is required for this position. Skills and experience in GIS, Jupyter Notebooks, data visualization and report writing are an asset. The role and expectations for the intern will be defined together with the team and student at the beginning of the internship, based on existing skills, knowledge and previous experience. This position has flexibility in projects for the intern to work on.
The Centre for Active Transportation (TCAT) is a project of the Toronto non-profit Clean Air Partnership that aims to support the implementation of active transportation infrastructure to evaluate and analyze the impacts of walking and cycling programs and policies. The main data problem interns can expect to solve is evaluating data on the long-term impacts of cycling hubs on transportation to help TCAT analyze the extent to which it is achieving its goals, and if any unintended consequences are emerging from their activities. Furthermore, interns will assist with analyzing the year-over-year trends in cycling during the course of the COVID-19 pandemic using existing internal and external datasets. The main data skills needed are in data visualization, organization and data structuring using spreadsheets such as Microsoft Excel and Google Sheets, for example. Programming tools that could help with such tasks would be an asset. Additional tasks might include assisting TCAT in its collaboration with the City of Toronto on specific projects, as needed. A background in transportation and policy evaluation would be an asset.
Located in Toronto, Access Alliance Multicultural Health and Community Services (Access Alliance) provides services and addresses system inequities to improve health outcomes for the most vulnerable immigrants, refugees, and their communities. The main data problem interns can expect to solve is to design and operate a dashboard to manage Access Alliance’s corporate performance measurement indicators. Interns will be tasked with creating a dashboard that automates Access Alliance’s data reporting efficiently, categorized by different departments. Furthermore, interns will also work on existing spreadsheets to visualize data for reporting key performance measurement indicators. The main data skills needed are in data organization, visualization and report automation using spreadsheets such as Microsoft Excel and Google Sheets, for example. Programming skills, as well as dashboard development and report automation skills, that could help with such tasks would be an asset. Additional projects might include assisting Access Alliance with specific tasks, as needed.