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Computer Forensics Jobs in Ontario (NOW HIRING)

Pathways to Independence

FTT Support Worker

Belleville, ON · On-site

CA$23.08 - CA$24.46/hr

... forensic services in accordance with the person's life plan. The Support Worker, DD, provides ... Must be computer literate with proficiency in electronic mail and other computer-based tools.

AlphaKOR

Cybersecurity Analyst

Windsor, ON · On-site

... and forensic investigations. Infrastructure & Availability Monitoring * Monitor server health ... Diploma or Degree in Cybersecurity, Information Technology, Computer Science, Network Security, or ...

AlphaKOR

Cybersecurity Analyst

Windsor, ON

Assistwith evidence collection and forensic investigations. Infrastructure & Availability ... Diploma or Degree in Cybersecurity, Information Technology, Computer Science, Network Security, or ...

Kinectrics

CA$85K/yr

Support of other sectors such as chemical, civil, mechanical, metallurgical, computer science ... with forensic inspection and testing of cables joints. * Assist with field acceptance testing of ...

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Computer Forensics information

See Ontario salary details

$24.5K

$102.8K

$162K

How much do computer forensics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer forensics in Ontario is $102,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $138,500.00 per year, depending on experience, location, and employer.

What is computer forensics?

Computer forensics, also known as digital forensics, is the practice of collecting, analyzing, and preserving digital evidence from computers and other electronic devices. Professionals in this field investigate cybercrimes, recover lost data, and provide evidence for legal cases involving digital information. They use specialized tools and techniques to ensure that the evidence remains authentic and admissible in court. Computer forensics experts often work with law enforcement, government agencies, or private companies to uncover digital footprints and solve technology-related crimes.

What are the key skills and qualifications needed to thrive as a computer forensics specialist?

To thrive as a Computer Forensics Specialist, you need expertise in digital evidence collection, data analysis, and a strong understanding of cybersecurity concepts, often supported by a degree in computer science, cybersecurity, or a related field. Familiarity with forensic tools like EnCase, FTK, and certification such as Certified Computer Examiner (CCE) or GIAC Certified Forensic Analyst (GCFA) is typically required. Analytical thinking, attention to detail, and strong written communication are essential soft skills for accurately interpreting and reporting findings. These skills and qualifications are crucial for ensuring digital evidence is preserved, analyzed, and presented effectively in legal or investigative contexts.

What are some common challenges faced by professionals in computer forensics and how can they be addressed?

Computer forensics professionals often encounter challenges such as dealing with encrypted data, rapidly evolving technology, and maintaining the integrity of digital evidence. Staying current with emerging tools and techniques is crucial, as is meticulous documentation to ensure evidence is admissible in court. Collaboration with law enforcement, legal teams, and IT departments is also essential to overcome technical hurdles and ensure a thorough investigation.

What is the difference between Computer Forensics vs Digital Forensics?

AspectComputer ForensicsDigital Forensics
CertificationsEnCE, GCFAEnCE, GCFA
Work EnvironmentLaw enforcement, corporate security, consultingLaw enforcement, legal, corporate investigations
Industry UsagePrimarily in cybersecurity and law enforcementBroader, including digital crime, legal cases, and incident response

Computer Forensics and Digital Forensics are closely related fields that often overlap. Computer Forensics focuses on analyzing computers and storage devices, while Digital Forensics covers a wider range of digital media and devices. Both roles require similar certifications and are used in law enforcement and corporate settings. The main difference lies in scope: Computer Forensics is more specific to computers, whereas Digital Forensics includes all digital evidence.

How much do computer forensics get paid?

Computer forensics specialists typically earn a median annual salary of around $70,000 to $100,000, depending on experience, education, and location. Entry-level roles may start lower, while those with certifications or advanced skills in digital evidence analysis can earn higher salaries, especially in specialized or high-demand environments.

Is computer forensics a good career?

Computer forensics is a specialized field within cybersecurity that involves investigating digital crimes and analyzing electronic evidence. It offers strong job growth, competitive salaries, and requires skills in digital tools, programming, and certifications like GCFA or EnCE. The work often involves problem-solving, attention to detail, and can be performed in various environments including law enforcement, private firms, or government agencies.

What can you do with a computer forensics degree?

A computer forensics degree prepares individuals for roles in digital investigation, cybercrime analysis, and incident response. Graduates can work as digital forensic analysts, cybersecurity specialists, or law enforcement investigators, often using tools like EnCase or FTK and obtaining certifications such as GCFA or EnCE to enhance job prospects.

What are popular job titles related to Computer Forensics jobs in Ontario?

For Computer Forensics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computer Forensics jobs in Ontario look for?

The top searched job categories for Computer Forensics jobs in Ontario are:

Computer Forensics jobs near you
Infographic showing various Computer Forensics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $102,763 per year, or $49.4 per hour.

Analyst/Consultant, AI/ML Models - Financial Engineering & Modeling (Permanent / Contract)

Deloitte

Toronto, ON • Hybrid

CA$56K - CA$84K/yr

Full-time

Life, PTO

Re-posted 6 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Job Type: Permanent 
Work Model: Hybrid 
Reference code: 133514   
Primary Location: Toronto, ON  
All Available Locations: Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
--
What will your typical day look like?


In this role you will help financial services industry (FSI) clients face quantitative issues with informed confidence. Using your deep technical skills and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges. 
 
Develop/validate/review Large Language Models models (LLMs) based on industry best practices.
 
You will also be able to learn and work in other quantitative and analytical areas such as credit modeling, forecasting and stress testing and customer behavior modeling. 

About the team


Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.
 
Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

Enough about us, let’s talk about you


You are someone with:

  • Relevant experience in AI/ML domain
  • Knowledge of NLP, LLMs (extractive and generative), fine-tuning, development, and deployment of LLM model. Familiar with higher level trends in LLMs and open-source platforms
  • Creatively solution new features for the clients’ Generative AI offerings, including testing, evaluating and benchmarking different LLMs and toolchains
  • Experience with Langchain and RAG
  • Demonstrated hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools
  • Solid academic background with a PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • Exceptional problem-solving abilities, meticulous attention to detail and a talent for logical reason
  • Curiosity and enthusiasm about new and unfamiliar technologies with ability to learn technical/scientific concepts quickly with minimal direction
Total Rewards


The salary range for this position is $56,000 - $84,000 (Analyst) or $68,000 - $102,000 (Consultant), 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.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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