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Bachelors In Exercise Science Jobs in Toronto, ON

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Bachelors In Exercise Science information

What are the key skills and qualifications needed to thrive with a bachelor's in exercise science, and why are they important?

To thrive with a Bachelor's in Exercise Science, you need a solid understanding of human anatomy, physiology, exercise prescription, and fitness assessment, usually obtained through accredited coursework and practical experience. Familiarity with fitness testing equipment, health screening tools, and certification from organizations like ACSM or NASM is highly beneficial. Excellent interpersonal skills, motivation, and the ability to educate and inspire clients set top professionals apart. These skills ensure safe, effective exercise programs, client adherence, and positive health outcomes.

What can you do with a bachelor's in exercise science?

A bachelor's in exercise science opens up a variety of career paths related to health, fitness, and wellness. Graduates can work as personal trainers, fitness instructors, strength and conditioning coaches, or wellness coordinators. Many also pursue roles in rehabilitation settings, such as physical therapy aides, or continue their education in fields like physical therapy, occupational therapy, or athletic training. The degree provides a strong foundation in human physiology, anatomy, and exercise program design, preparing students for both practical and clinical roles in the health and fitness industry.

What types of entry-level positions are commonly available to graduates with a bachelor's in exercise science, and what does a typical day look like in these roles?

Graduates with a Bachelor's in Exercise Science often find entry-level roles such as fitness trainers, wellness coordinators, physical therapy aides, or exercise physiologist assistants. In these positions, a typical day might include conducting fitness assessments, developing exercise programs, leading group classes, and educating clients on healthy lifestyle habits. Collaboration with health professionals, such as physical therapists or nutritionists, is common, especially in clinical or rehabilitation settings. These roles provide valuable hands-on experience and can serve as stepping stones to advanced positions or further education in allied health fields.

What is the difference between Bachelors In Exercise Science vs Personal Trainer?

AspectBachelors In Exercise SciencePersonal Trainer
Required CredentialsDegree in exercise science, certifications like ACSM or NSCA often preferredCertification such as NASM, ACE, or ISSA required
Work EnvironmentClinics, gyms, research settings, hospitalsGyms, fitness centers, private clients
Industry UsageAcademic, clinical, research, fitness industryPersonalized fitness training, client-focused

While both roles involve fitness and health, a Bachelors In Exercise Science provides a broad foundation in human physiology and health sciences, often leading to careers in clinical or research settings. A Personal Trainer focuses on designing and implementing fitness programs for clients, typically requiring certification. The degree offers more diverse career options, whereas personal training is more specialized and client-oriented.

What are popular job titles related to Bachelors In Exercise Science jobs in Toronto, ON?

For Bachelors In Exercise Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Bachelors In Exercise Science jobs in Toronto, ON look for?

The top searched job categories for Bachelors In Exercise Science jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Bachelors In Exercise Science jobs?

Cities near Toronto, ON with the most Bachelors In Exercise Science job openings:

Bachelors In Exercise Science jobs near you
Infographic showing various Bachelors In Exercise Science job openings in Toronto, ON as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, 2% Temporary, and 6% Contract. Highlights an 76% In-person, 12% Hybrid, and 12% Remote job distribution.

Senior Data Scientist - Gen AI & NLP

Tiger Analytics Inc.

Toronto, ON • Remote

Full-time

Re-posted 9 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities:

  • Work on the latest applications of data science to solve business problems
  • Work directly with client stakeholders to translate business problems into high level analytics solution designs
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
  • Design and develop machine learning and Generative AI solutions using RAG
  • Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph
  • Develop agentic AI workflows for automation, insights generation, and decision support
  • Implement Document Intelligence solutions for extracting insights from unstructured data
  • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution

Requirements

  • 7+ years of experience working as a GenAI Data Science.
  • Proficiency in Python and SQL
  • Experience with MLflow and model lifecycle management
  • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
  • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
  • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
  • Experience with Bedrock, JumpStart, HuggingFace
  • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
  • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
  • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
  • Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science.
  • Experience building end-to-end ML pipelines in production
  • Familiarity with CI/CD pipelines, monitoring, and model governance
  • Ability to design scalable and reliable AI systems
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.