Proficiency in computer science, data analytics, or information technology., Familiarity with programming languages such as Python/R and SQL., Strong attention to detail and accuracy in work., Ability to effectively communicate technical concepts and collaborate with team members..
Key responsibilities:
Mapping out key data sources and attributes used in products for buyers, sellers, and operations.
Building a framework on Google Cloud (GCP) to host and integrate real-time and batch data science solutions.
Supporting the development or deployment of a prototype for RB’s Asset Recommendations using modern data science techniques.
Creating comprehensive documentation outlining the structure and functionality of assigned projects.
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Established in 1958, Ritchie Bros. (NYSE and TSX: RBA) is a global asset management and disposition company, offering customers end-to-end solutions for buying and selling used heavy equipment, trucks and other assets. Operating in a multitude of sectors, including construction, transportation, agriculture, energy, oil and gas, mining, and forestry, the company’s selling channels include: Ritchie Bros. Auctioneers, the world’s largest industrial auctioneer offers live auction events with online bidding; IronPlanet, an online marketplace with featured weekly auctions and providing its exclusive IronClad Assurance® equipment condition certification; MarketplaceE, an online marketplace offering multiple price and timing options; Mascus, a leading European online equipment listing service; and Ritchie Bros. Private Treaty, offering privately negotiated sales.
The company also offers sector-specific solutions including GovPlanet, TruckPlanet, Kruse Energy Auctioneers, and Cat® auctions, plus equipment financing and leasing through Ritchie Bros. Financial Services. For more information about the unprecedented choice provided by Ritchie Bros., visit RitchieBros.com.
Are you ready to make your summer count? Join our dynamic 10-week internship program (June 2 – August 8) and gain real-world experience that goes far beyond the job description. In addition to hands-on work assignments, interns will join a North America-wide cohort experience, tackling a real business challenge through a collaborative capstone project—with the opportunity to present their ideas to company leaders in a final pitch competition. You'll also take the lead in weekly intern staff meetings, participate in community service, and be matched with a mentor to guide your growth. With access to Lunch & Learns, executive speakers, and one-on-one interactions with leaders, this hybrid/virtual experience is designed to help you build your network and your resume. We’ll celebrate together on National Intern Day and throughout the summer. Come grow with us—and make your mark!
As a Data Science Intern, you will contribute to building and deploying data science products that drive key decisions at RB Global.
Why Join
Skill Development: Gain hands-on experience with cutting-edge data technologies
Meaningful Work: Engage in challenging and meaningful assignments that contribute to significant projects
Community: Join a supportive and inspiring community of colleagues
Responsibilities
Mapping out key data sources and attributes used in products for buyers, sellers, and operations
Building a framework on Google Cloud (GCP) to host and integrate real-time and batch data science solutions
Supporting the development or deployment of a prototype for RB’s Asset Recommendations, using modern data science techniques to help maximize returns and Gross Transaction Value (GTV).
Documentation: Create comprehensive documentation outlining the structure and functionality of assigned projects
Qualifications
Proficiency in computer science, data analytics, or information technology.
Familiarity with programming languages such as Python/R & SQL.
Strong attention to detail and accuracy in work.
Ability to effectively communicate technical concepts and collaborate with team members.
A responsible and enthusiastic approach to developing an using technical skills to positively impact projects.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.