5/21/26

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Job Type: Permanent Work Model: Hybrid Reference code: 133348 Primary Location: Toronto, ON All Available Locations: Toronto, ON

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What will your typical day look like?

As a Computational Economist / Economic Data Scientist, you would take a hands-on role in developing and delivering solutions for high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will be responsible for performing statistical modelling, computations, and data ETL to deliver analytical models to economics-related challenges. You will also work to improve existing firm assets. This includes tools to support clients including utilities and government on the energy system and infrastructure impacts of the energy transition. will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids.

About the team

Deloitte's Artificial Intelligence & Data practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client's transformative journey with disciplined focus on business outcomes.

Enough about us, let's talk about you

You are someone with:
• Data analysis experience using (one or more): Python, Cloud ML (AWS, GCP, Azure), or similar tools
• 1 to 3 years (Consultant) or 4 to 8 years (Senior Consultant) relevant work experience with applying analytics or working with data in any industry
• Strong experience with statistical analytical techniques, data mining, and predictive models is required
• Experience in economic modeling and/or computational economics is required
• Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools is required
• Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
• Enthusiastic about solving complex problems with a variety of analytical tools
• An understanding of Canada's energy system is highly desired
• GAMS or related economic modelling tools highly desired
• Professional services, consulting, or advisory experience is an asset
• Strong oral and written communication skills
• Interest in continuing to develop analytical and business development skills
• BA/BSc degree in Economics, Computer Science, Applied Mathematics, Statistics, or related field is required.
• Advanced degree (MA/MSc, equivalent or higher) is preferred
• Highly desirable experience related to linear programing and domain knowledge in energy systems modeling and/or the power and utilities sector

Total Rewards

The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.