Tech & Data Intern

Toronto, ON, Canada

Job Description


Make your next move an expert one.

At Colliers it\xe2\x80\x99s not our success that sets us apart, it\xe2\x80\x99s how we achieve it. Our people are passionate, take ownership and always do what\xe2\x80\x99s right for our clients, people and communities.

Why Colliers?

Our enterprising environment needs your expertise to facilitate Colliers\xe2\x80\x99 continued growth as an industry leader. Our nimble, decentralized culture can provide you with a wealth of opportunities to learn about our business and quickly gain experience to accelerate your career.

What You Will Bring

Currently pursuing or recently completed a Bachelor\xe2\x80\x99s or Master\'s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Basic to intermediate proficiency in Python or another programming language, including experience with machine-learning/data science libraries (e.g., scikit-learn, SciPy, pandas, TensorFlow).

Familiarity with SQL and database concepts, with a strong emphasis on data cleansing and integrity maintenance.

Strong problem-solving skills and a creative mindset for tackling diverse challenges, including a focus on data discovery and insights extraction.

Eagerness to learn and adapt in a fast-paced environment.

Basic understanding of machine learning concepts and data analysis techniques, including knowledge discovery, predictive analysis, and ROI analysis.

Excellent communication skills to collaborate effectively with the team and stakeholders.

Understanding of object-oriented programming concepts.

What You Will Do

Work alongside our Senior Manager of BI and Data Science to develop and test various data-driven proof of concept projects.

Assist in the collection, preparation, and thorough cleansing of data to ensure quality and reliability for analysis.

Engage in data discovery processes to uncover hidden patterns and insights, contributing to data-driven decision-making.

Collaborate with cross-functional teams to understand business needs and contribute to developing solutions with a focus on strategic deployment of analytics.

Learn and apply new technologies and methodologies in data science and analytics.

Participate in regular team meetings and contribute to discussions on project progress and challenges.

Bonus Skills (Not Required, But Great to Have)

Experience with any machine learning or data visualization tools.

Knowledge or interest in commercial real estate or related industries.

Exposure to cloud computing platforms like AWS or Azure.

What Success Looks Like

Successfully developing and presenting proofs of concept for various data science projects.

Demonstrating proactive learning and adaptation to new tools and techniques in data science.

Contributing to the team with fresh ideas and perspectives.

Effective collaboration and communication with team members and other departments, especially in the realms of data cleansing and discovery.

Approximate Salary Range for Role: $16- $32

Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all Canada locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Make your next move an expert one and join us as we lead the industry into the future.

Direct applicants only please, no agencies.

Colliers is an equal opportunity employer and values diversity in its workforce. Colliers encourages applications from all qualified individuals and will accommodate applicants\' disability-related needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process. If you require a disability-related accommodation in order to participate in the recruitment process, please contact the recruitment team by email at careers@colliers.com.

Colliers International

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Job Detail

  • Job Id
    JD2272971
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, Canada
  • Education
    Not mentioned