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Intern Data Science Music Jobs in Toronto, ON (NOW HIRING)

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Intern Data Science Music information

What does an intern data science music do?

An Intern Data Science Music typically assists in analyzing and interpreting music-related data to help improve products or services in the music industry. Their tasks may include collecting and cleaning data, performing statistical analysis, building predictive models, and visualizing musical trends or user behavior. These interns often work with large datasets involving music streaming, song features, or listener preferences, and may collaborate with data scientists, engineers, and product teams. The role offers practical experience in both data science and the unique challenges of the music sector.

What types of projects can an intern data science music expect to work on, and how do these contribute to the team’s goals?

As an Intern Data Science Music, you can expect to work on projects such as analyzing streaming data to uncover listening trends, building recommendation algorithms, or assisting with the evaluation of audio feature extraction methods. These projects are typically collaborative, allowing you to work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or prototypes that directly impact how music is discovered and experienced on digital platforms. The work environment is often fast-paced and encourages creative problem-solving, which helps interns gain exposure to real-world data challenges while contributing meaningfully to the team's objectives.

What are the key skills and qualifications needed to thrive as an intern in data science for music, and why are they important?

To thrive as an Intern in Data Science for Music, you generally need a foundational understanding of statistics, machine learning, data analysis, and programming skills in languages like Python or R, often supported by coursework or a degree in computer science, statistics, or a related field. Experience with data visualization tools, basic knowledge of audio analysis libraries (such as librosa), and familiarity with SQL or cloud platforms are commonly required. Strong analytical thinking, creativity, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting meaningful patterns from music data, supporting innovation, and driving actionable outcomes in the music industry.

What is the difference between Intern Data Science Music vs Intern Data Analysis Music?

AspectIntern Data Science MusicIntern Data Analysis Music
Required CredentialsBasic programming, statistics, data science fundamentalsStatistics, Excel, basic programming
Work EnvironmentCollaborative teams, research projects, data modelingData review, reporting, visualization tasks
Industry UsageTech, entertainment, music streaming companiesMedia, marketing, music industry firms

Intern Data Science Music and Intern Data Analysis Music roles share foundational skills like statistics and basic programming. However, Data Science internships focus more on developing predictive models and machine learning, while Data Analysis roles emphasize data visualization and reporting. Both are common in the music industry, but Data Science roles often involve more complex data modeling and algorithm development.

What are the most commonly searched types of Data Science Music jobs in Toronto, ON?

The most popular types of Data Science Music jobs in Toronto, ON are:

What are popular job titles related to Intern Data Science Music jobs in Toronto, ON?

For Intern Data Science Music jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Intern Data Science Music job openings in Toronto, ON as of August 2026, with employment types broken down into 22% Internship, 58% Full Time, and 20% Part Time. Highlights an 80% In-person, 8% Hybrid, and 12% Remote job distribution.

Intern - Risk, Models and Asset Liability (May 2027 - 12 months)

Ontario Teachers' Pension Plan

Toronto, ON • Hybrid

CA$30 - CA$33/hr

Full-time

Posted 14 days ago


Key responsibilities

  • Assist in the development and refinement of asset/liability models to evaluate the impact of changes in portfolio returns and economic assumptions.

  • Conduct statistical analysis on simulation outputs and interpret key risk metrics.

  • Help design and execute stress tests and scenario analyses to assess portfolio resilience under various market conditions, economic shocks, and demographic assumptions.


Job description

The deadline to apply for this role is:

Until 11:59 PM of September 21, 2026

The Opportunity

May 2027 - April 2028

Are you eager to understand the risks that shape the decisions of OTPPs' investment professionals? Are you eager to deepen your understanding of asset/liability management, portfolio construction, and data-driven decision-making in a real-world institutional investment setting?

As an intern on the Models and Asset Liability Risk team, you will gain hands-on experience using advanced analytical tools to evaluate the impact of asset mix decisions. This role offers a unique opportunity to explore the key factors influencing the asset/liability balance of a pension plan, understand the risk and return characteristics of various asset classes, and apply risk metrics to assess portfolio suitability.

Who You'll Work With

You will collaborate with a highly skilled team of investment analysts, data scientists and actuaries on a variety of projects-ranging from short-term tasks to full-term initiatives. This role is based in our Toronto office and follows a hybrid work model. No additional travel is required.

What You'll Do

As an Asset Liability Risk Intern, your responsibilities will include:

  • Assisting in the development and refinement of asset/liability models to evaluate the impact of changes in portfolio returns and economic assumptions.
  • Conducting statistical analysis on simulation outputs and interpreting key risk metrics.
  • Creating and presenting data visualizations and summaries tailored for diverse audiences, including investment professionals and risk managers.
  • Help design and execute stress tests and scenario analyses to assess portfolio resilience under various market conditions, economic shocks and demographic assumptions.
  • Assist in preparing model and process documentation, risk reports, and presentations that communicate findings and recommendations to stakeholders.
  • Contribute to the development and implementation of automated workflows and advanced AI-driven solutions using Python, with the goal of streamlining processes and enhancing operational efficiency across risk modeling and asset liability management.

What You'll Need to Succeed

  • A strong academic background in finance, risk management, actuarial science, mathematics, or computer science is essential. Candidates should demonstrate proficiency in quantitative analysis and possess the foundational knowledge required to evaluate complex financial models and risk metrics within an institutional investment environment.
  • Enrollment in a 3rd or 4th year undergraduate program or a Masters' program in Actuarial Science, Statistics, Finance, or a related field.
  • Familiarity with pension plan operations, particularly the interaction between assets and liabilities
  • A working knowledge of asset classes and their roles in diversified portfolios.
  • Proficiency in Python or any other programming languages for data analysis and modeling.
  • Experience with data visualization tools (Power BI preferred).
  • Prior co-op or internship experience is an asset.
  • Experience with Snowflake is an asset.
  • Interest or experience in building agentic AI applications is a plus.
  • You must be enrolled in a co-op program or returning back to your studies after the work term is completed

#LI-SS

What we're offering

The expected hourly range for this role is $30 - $33 depending on experience and qualifications.
  • Numerous opportunities for professional growth and development, including lunch and learns

  • Student led team building events on a monthly basis

  • Employee discount programs including Edvantage and Perkopolis

At Ontario Teachers', diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring. We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves. To learn more about our commitment to Diversity, Equity and Inclusion, check out Life at Teachers'.

How to apply

Are you ready to pursue new challenges and take your career to the next level? Apply today! The following documents are required to be uploaded with your application:

  • Resume

  • Copy of your transcripts

You will also be invited to complete a pre-recorded digital interview as part of your application. Please complete it within 48 hours of application submission.

Intern Application Guidance

  • We will be reviewing applications on a rolling basis. We recommend candidates apply as soon as possible.

  • To help us better understand your interests and career goals, we recommend candidates apply to their top 3-5 positions for the term.

We thank you for applying, however, only those selected for a personal interview will be contacted. Note that candidates must be legally entitled to work in the country where this role is located.

Accommodations are available upon request (peopleandculture@otpp.com) for candidates with a disability taking part in the recruitment process and once hired.

Ontario Teachers' may use AI-based tools to assist in screening and assessing applicants for this position. These tools may help us identify candidates whose skills and experience align with Ontario Teachers' objectives by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.

To learn more about how Teachers' uses AI with your personal information, please visit our Privacy Centre.

Functional Areas:

Administration


Vacancy:

Current

Requisition ID:

7196#LI-SS1