Guided by our values of safety in every step, personal accountability, one team and active learning ... including internships, co-op terms, or new-graduate roles * A combination of education and ...
Guided by our values of safety in every step, personal accountability, one team and active learning ... including internships, co-op terms, or new-graduate roles * A combination of education and ...
Internship Graduate Machine Learning information
What is an internship graduate machine learning?
Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.
What types of projects do internship graduate machine learning roles typically involve, and how are responsibilities structured within the team?
Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.
What are the key skills and qualifications needed to thrive as an internship graduate machine learning, and why are they important?
To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.
What is the difference between Internship Graduate Machine Learning vs Data Analyst?
| Aspect | Internship Graduate Machine Learning | Data Analyst |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related field; basic knowledge of programming and statistics | Degree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools |
| Work Environment | Tech companies, research labs, startups; project-based, collaborative teams | Business, finance, marketing sectors; focus on reporting and data interpretation |
| Employer & Industry Usage | Used in tech, AI, and research industries for developing machine learning models | Common in corporate, finance, and consulting firms for data-driven decision making |
While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.
What cities in Alberta are hiring for Internship Graduate Machine Learning jobs?
Cities in Alberta with the most Internship Graduate Machine Learning job openings:
Financial Analyst - Coastal GasLink and Project Finance
Calgary, AB • Hybrid
Tcenergy
Full-time
Posted 5 days ago
Job description
Determined, imaginative, curious-if these are some of the ways you describe yourself, we want to learn more about you!
At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.
The Opportunity
Join the Coastal GasLink and Project Finance Team as a Financial Analyst and begin your career supporting a nationbuilding infrastructure project.
This entrylevel role is designed for new grads or earlycareer candidates who is eager to build a strong foundation in project finance operations, cash management, lender compliance, and governance within a complex, largescale construction environment.
Reporting to the Manager, Coastal GasLink and Project Finance within the Corporate Finance department, you will support the team through executionfocused financial processes, coordination with internal teams and external stakeholders, and preparation of recurring reporting materials.
What you'll do
Prepare and execute monthly cash calls, including invoice creation and support, preparation of information for bank wires, confirmation of receipt of funds, and daytoday monitoring of liquidity
Support shortterm cash forecasting and liquidity management by monitoring 30, 60, and 90day cash requirements, assisting with tracking of funding sources and uses throughout construction, and supporting monthly credit facility draws, including preparation of draw packages, notices, and reconciliation of forecasted costs
Prepare and update monthly, quarterly, and annual governance materials, including summaries, schedules, supporting documentation, and compliance reports and certificates.
Liaise with cross functional teams across the organization, as well as external stakeholders and advisors
Support corporate areas with short-term and long-term planning
Identify and lead process improvement opportunities
Minimum Qualifications
Bachelor's degree in Finance, Accounting, or another related analytical field
2+ years of relevant experience, including internships, co-op terms, or new-graduate roles
A combination of education and experience may be considered
Preferred Qualifications
Strong Excel skills with an interest in financial analysis and reporting
Strong attention to detail and ability to manage multiple competing tasks
Clear written and verbal communication skills
Treasury or capital markets experience
Exposure to cash flow forecasting, budgeting, or financial reporting through coursework or work experience
Comfort working with large data sets, templates, and recurring reporting processes
Ability to work effectively under time constraints and manage multiple competing priorities
Strong business aptitude and ability to be innovative with creative problem solving
General understanding of the pipeline and energy infrastructure business
To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico. #LI-Hybrid
About our business
We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. Every day, our dedicated team proudly connects the world to the energy it needs-moving over 30 per cent of the cleaner-burning natural gas used across the continent. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure fuels industries and generates affordable, reliable and sustainable power across North America, while enabling LNG exports to global markets.
TC Energy is an equal opportunity employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.
All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.
Learn more
Visit us at TCEnergy.com and connect with us on our social medial channels for our latest news, employee stories, community activities, and other updates.
Thank you for considering TC Energy in your career journey.