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Python Web Scraping Internship Jobs in Calgary, AB

Viridien

Machine Learning Engineer

Calgary, AB

... Python * Good experience with Large Language Model technologies * Experience within Data ... Web Scraping * Model Development Responsibilities: * Design machine learning systems * Collaborate ...

All JobsPython Web Scraping JobsPython Web Scraping Internship JobsPython Web Scraping Internship Jobs in Calgary, AB

Python Web Scraping Internship information

What types of projects and responsibilities can I expect during a Python Web Scraping Internship?

As a Python Web Scraping Intern, you'll typically work on projects that involve extracting data from various websites using libraries such as BeautifulSoup, Scrapy, or Selenium. Your daily tasks may include writing and debugging scripts, cleaning and organizing scraped data, and ensuring compliance with website terms of service. You'll often collaborate with data analysts or software engineers to understand data requirements and integrate your work into larger data pipelines. This role provides a hands-on learning environment, helping you develop practical coding skills, problem-solving abilities, and teamwork experience.

What is the difference between Python Web Scraping Internship vs Data Analyst Internship?

AspectPython Web Scraping InternshipData Analyst Internship
Required SkillsPython, web scraping tools, basic data handlingExcel, SQL, data visualization, statistical analysis
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Industry UsageData collection, automation, research projectsData interpretation, reporting, decision-making support

While both internships involve working with data, a Python Web Scraping Internship focuses on extracting data from websites using Python, whereas a Data Analyst Internship emphasizes analyzing and visualizing data to support business decisions. The skills and work environments overlap in tech settings, but their core responsibilities differ significantly.

What is a Python Web Scraping Internship?

A Python Web Scraping Internship is a training position where interns learn to use Python programming to extract data from websites. Interns typically work on projects involving automated data collection, cleaning, and storage using Python libraries like BeautifulSoup, Scrapy, or Selenium. The role helps build practical experience in both coding and understanding web structures, which is valuable for careers in data science, software development, or research. Interns may also gain skills in handling large datasets and understanding ethical considerations in web scraping.

What are the key skills and qualifications needed to thrive as a Python Web Scraping Intern, and why are they important?

To thrive as a Python Web Scraping Intern, you need a solid understanding of Python programming, familiarity with web protocols, and a basic grasp of HTML, CSS, and JavaScript. Experience using libraries like BeautifulSoup, Scrapy, or Selenium, along with version control systems like Git, is typically required. Strong analytical thinking, attention to detail, and effective problem-solving skills help you navigate complex data extraction tasks and adapt to changing website structures. These skills are crucial for efficiently collecting accurate data and ensuring compliance with ethical and legal standards in data gathering.
What are popular job titles related to Python Web Scraping Internship jobs in Calgary, AB? For Python Web Scraping Internship jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Python Web Scraping Internship jobs in Calgary, AB look for? The top searched job categories for Python Web Scraping Internship jobs in Calgary, AB are:
Python Web Scraping Internship jobs near you

Machine Learning Engineer

CGG Services (Canada) Inc.

Calgary, AB • On-site

$90 - $120/hr

Other

Posted 8 days ago

Job description

Machine Learning Engineer

Location: Calgary, AB, Canada. Full-time.

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. You will develop machine learning models and retrain systems, contributing ideas and driving innovation to maintain our outstanding leadership position.

Preferred Education
  • Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
Key Skills & Competencies
  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills in C, C++, R, Java, Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects
  • Effective communication skills to keep all stakeholders regularly informed on progress
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction
Other Skills/Experience
  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development
Responsibilities
  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Provide support to achieve successfully deployed models at conclusion of projects
  • Plan and manage data analysis workflows
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experimentsTrain and retrain systems when necessary
  • Extend existing ML libraries and frameworks
Equal Employment Opportunity

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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