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Entry Level Civil Engineering Data Science Jobs in Ottawa, ON

Larus Technologies

Data Scientist

Ottawa, ON · On-site

... Applied Math, Engineering Physics, Economics, Computer Science, etc.); * Master's or Ph.D. is ... Data collection, analysis and reporting. Preferred Technical Skills: * MLOps (e.g., Kubeflow)

Spark Power

Engineering Associate

Hamilton, ON · On-site

CA$70K - CA$80K/yr

... data to non-technical stakeholders. * Bachelor's degree in Civil Engineering or Structural Engineering . * 0 to 3 years of experience in structural design or a related field. Entry-level candidates ...

Spark Power

Engineering Associate

Hamilton, ON

$70K - $80K/hr

... data to non-technical stakeholders. * Bachelor's degree in Civil Engineering or Structural Engineering . * 0 to 3 years of experience in structural design or a related field. Entry-level candidates ...

WSP

Engineer-in-Training

Ottawa, ON · On-site

CA$66K - CA$88K/yr

Undergraduate degree in Civil Engineering from an accredited university. * Eligibility for Engineer ... The brightest engineers, advisors and scientists from across the globe call WSP home. * Proudly ...

WSP

Engineer-in-Training

Ottawa, ON · On-site

CA$66K - CA$88K/yr

Undergraduate degree in Civil Engineering from an accredited university. * Eligibility for Engineer ... The brightest engineers, advisors and scientists from across the globe call WSP home. * Proudly ...

Thales

Data Engineer - student

Ottawa, ON · On-site

CA$55K - CA$60K/yr

More specifically, the Data Engineer student will work with business analysts and operational ... Completing degree in software engineering, computer science or related field. Preferred ...

Ware Malcomb

Intern, Architecture (Fall)

Ottawa, ON

CA$18 - CA$22/hr

... design, civil engineering, branding, building measurement, structural engineering and MEP ... If you would like more information about how your data is processed, please contact us. apply for ...

BGC Engineering

Junior IT Technician

Ottawa, ON · Hybrid

CA$65K - CA$85K/yr

We are proud of our talented team of over 800 employees, spanning the fields of Engineering, Geoscience, Software, Geomatics, Data Science, Accounting, Administration, Health & Safety and Human ...

Mohawk College

Professor, Computer Science

Hamilton, ON · On-site

Possess the ability to teach a variety of undergraduate computer science classes including courses ... NET, Server-side web programming, Natural Language Processing, Machine Learning, Data Management ...

Canada Post

Officer, Development (Fulfill)

Ottawa, ON · On-site

CA$62K - CA$100K/yr

Other Information PSAC T1 - Development, Fulfill Civil Engineering - T1 term position Civil ... Experience with generating reports, data analysis and quality management. * Proficient with CAD and ...

Actalent

Entry Level Recruiter | Sales Trainee

Ottawa, ON · On-site

$42K - $57K/yr

We're looking for a highly motivated Entry-Level Recruiter | Sales Trainee to join our team and ... Building trusted relationships with our network of engineering and sciences consultants under our ...

Actalent

Entry Level Recruiter | Sales Trainee

Ottawa, ON · On-site

CA$198K/yr

We're looking for a highly motivated Entry-Level Recruiter | Sales Trainee to join our team and ... Building trusted relationships with our network of engineering and sciences consultants under our ...

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All JobsCivil Engineering Data Science JobsEntry Level Civil Engineering Data Science JobsEntry Level Civil Engineering Data Science Jobs in Ottawa, ON

Entry Level Civil Engineering Data Science information

What is an entry level civil engineering data science?

An entry level civil engineering data science job involves using data analysis and computational tools to solve problems related to civil engineering, such as infrastructure design, construction, and maintenance. Professionals in this role work with large datasets from sensors, surveys, and simulations to help inform decisions about projects like roads, bridges, and buildings. They often use programming languages like Python or R and work with statistical methods, machine learning, and data visualization. This role is ideal for recent graduates with skills in both civil engineering fundamentals and data science techniques.

How do entry level civil engineering data scientists typically collaborate with engineering teams on infrastructure projects?

Entry-level civil engineering data scientists often work closely with multidisciplinary engineering teams to collect, analyze, and interpret large datasets related to infrastructure projects. They support decision-making by creating predictive models, visualizations, and reports that inform project design, construction, and maintenance. Collaboration usually involves regular meetings, sharing insights with engineers and project managers, and ensuring that data-driven recommendations align with technical and regulatory requirements. This partnership helps bridge the gap between data science and practical engineering solutions.

What are the key skills and qualifications needed to thrive as an entry level civil engineering data scientist, and why are they important?

To thrive as an Entry Level Civil Engineering Data Scientist, you need a solid grasp of civil engineering fundamentals, statistics, and data analysis, typically supported by a relevant engineering or data science degree. Familiarity with technical tools such as Python, MATLAB, AutoCAD, and data visualization platforms, as well as experience with databases and possibly certifications in data analytics, are highly beneficial. Strong problem-solving abilities, attention to detail, and communication skills make candidates stand out in this multidisciplinary role. These skills are crucial for accurately interpreting engineering data, supporting infrastructure decision-making, and effectively conveying insights to technical and non-technical stakeholders.

What is the difference between Entry Level Civil Engineering Data Science vs Entry Level Civil Engineering?

AspectEntry Level Civil Engineering Data ScienceEntry Level Civil Engineering
Required CredentialsBachelor's in Civil Engineering, Data Science, or related field; knowledge of programming and data analysisBachelor's in Civil Engineering or related field; engineering fundamentals
Work EnvironmentDesign firms, consulting agencies, government agencies with data analysis focusConstruction sites, design offices, infrastructure projects
Employer & Industry UsageUtilized in infrastructure planning, data-driven decision making, modelingDesign, construction, and maintenance of civil infrastructure

Entry Level Civil Engineering Data Science combines civil engineering fundamentals with data analysis skills, focusing on data-driven project optimization. In contrast, Entry Level Civil Engineering emphasizes traditional engineering design and construction. Both roles require a bachelor's degree, but the data science role demands additional programming and analytical skills, often working in environments that leverage data for infrastructure planning and management.

What are popular job titles related to Entry Level Civil Engineering Data Science jobs in Ottawa, ON?

For Entry Level Civil Engineering Data Science jobs in Ottawa, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Civil Engineering Data Science jobs in Ottawa, ON look for?

The top searched job categories for Entry Level Civil Engineering Data Science jobs in Ottawa, ON are:

What cities near Ottawa, ON are hiring for Entry Level Civil Engineering Data Science jobs?

Cities near Ottawa, ON with the most Entry Level Civil Engineering Data Science job openings:

Entry Level Civil Engineering Data Science jobs near you

Data Scientist

Larus Technologies

Ottawa, ON • On-site

Full-time

Medical, Dental, PTO

Re-posted 6 days ago

Job description

Job Summary
Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (Up to 3 days per week), 70 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office, or, remote if located outside of the National Capital Region.
Reporting To: Director of Technology
Salary Range: $80,000 to 95,000
Type of Vacancy: New
Larus is growing and we are looking for talented and enthusiastic individuals to join our team!  We are in search of self-motivated individuals to join the Larus Labs team as Data Scientists, where we develop end-to-end real-time solutions for the enterprise market. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied solutions.
Key Responsibilities
  • Design and implement scalable, distributed AI/ML-based systems; 
  • Design, development, integration, and testing of AI/ML models;
  • Advocate high-quality and best practices in software design and development; 
  • Close interaction with other team members on system integration and validation; 
  • Perform data analysis, visualization, and modelling with large datasets;
  • Independently interacting clients, explaining technical concepts to technical and non-technical stakeholders;
  • Perform data acquisition, cleaning, and transformation; 
  • Record and document work;
  • Meet sprint goals with the team and release deliverables to stakeholders and     
  • customers; and,
  • Other duties as assigned. 

Qualifications
Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies, we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.  
Expected qualifications include:
  • University undergraduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
  • Master’s or Ph.D. is considered an asset;
  • 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines;
  • Experience in a client facing role, regularly meeting client demands;
  • Passion for learning and solving complex problems;
  • Strong object-oriented programming in Python; 
  • Strong communication skills; 
  • Ability to work in a dynamic, fast-paced work environment; 
  • Organized and focused; and, 
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
Technical Skill Requirements, working knowledge of: 
  • Python;
  • Machine Learning and Data Mining;  
  • AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch, Jax); 
  • Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
  • Source control-based system (e.g. Git);   
  • Trend analysis and predictive modeling; and,
  • Data collection, analysis and reporting. 
Preferred Technical Skills: 
  • MLOps (e.g., Kubeflow); 
  • Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask); 
  • Software Unit Testing (e.g., Python Unittest); 
  • Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops); 
  • Data Visualization (e.g., matplotlib, seaborn, streamlit); 
  • Optimization (e.g., optuna, katib, jmetalpy, GA); and, 
  • Mathematics (e.g., linear algebra, statistics, mathematical programming).
Preferred Client Skills: 
  • Ability to work with client stakeholders across all levels of an organization, from individual contributors to senior executives;
  • Strong interpersonal and relationship-management skills;
  • Strong active-listening skills and the ability to translate business needs into data science solutions;
  • Experience managing client expectations while balancing project scope, timelines, and priorities; and
  • Ability to build trust and credibility with clients through professionalism, responsiveness, and consistent delivery.
Benefits 
  • Competitive compensation package; $80,000-95,000
  • Comprehensive Health and Dental insurance package; 
  • Competitive vacation and paid time off; 
  • Company-sponsored team-building events; and
  • Learning and development opportunities. 

About Larus
Larus Technologies Corporation (http://www.larus.com ) is an Ottawa-based software product and research company capable of developing intelligent systems and engineering simulations primarily for business, Defence and security applications. Larus’ core business areas include Data Analytics and Fusion Solutions, including the Total::Insight™ Decision Support System and the Total::Perception™ Systems Simulation Engine, Software Engineering Services, primarily in the Public Security and Defence sectors; and Research and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, and Data Science.​ 
We invite enthusiastic and qualified applicants to submit their cover letter and resume through our JazzHR system. 
We thank all applicants; however, only those selected for an interview will be contacted.  
At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.  
Larus has an accommodation process and provides accommodation for applicants with disabilities.  If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.com

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