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Data Science Civil Engineering Jobs in Alberta (NOW HIRING)

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities ... developers, information designers, and business/industry leaders. You will be responsible for ...

Prior exposure to a statistical or scientific programming environment is helpful. If you don't have ... data pipeline tools. Excellent oral and written communication skills will help. You'll work with ...

... engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good ...

... engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good ...

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Civil engineering technology diploma is preferred. * Must possess a valid Class 5 Driver's License ...

Bachelor of Science degree in Civil Engineering from a four-year accredited college or university. * Minimum 5 years of relevant experience in Civil Engineering and Design. * Professional Engineering ...

Langan provides expert land development engineering and environmental consulting services for major ... and geologic data and their impact on the planning and design of projects; * Recommend new ...

About you * Holds an undergraduate degree in Civil Engineering. * Registered as a Professional ... class engineering services and nuclear organization. We connect people, data and technology to ...

Manager, Civil & Lines Engineering Location: Edmonton, AB Division: Engineering What We Offer ... Bachelor of Science Degree in Engineering is preferred. * Professional Engineer or Professional ...

With an unmatched breadth and depth of engineering, advisory and science-based expertise, our ... The Opportunity Build the Future with Us - As a Senior Civil Engineer in our Edmonton Land ...

Analyze laboratory and field test data to evaluate properties and provide recommendations * Prepare ... Bachelors degree in Civil Engineering from an accredited institution. * Engineer-in-Training (E.I.T ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

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Showing results 1-20

Data Science Civil Engineering information

See Alberta salary details

$25.5K

$103.3K

$196K

How much do data science civil engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data science civil engineering in Alberta is $103,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $136,500.00 per year, depending on experience, location, and employer.

How is data science used in civil engineering?

Data science in civil engineering involves analyzing large datasets to optimize design, construction, and maintenance of infrastructure. Civil engineers use data analytics, machine learning, and modeling tools to improve project efficiency, predict structural performance, and manage resources effectively.

What is a Data Science Civil Engineering job?

A Data Science Civil Engineering job combines data science techniques with civil engineering expertise to analyze, model, and optimize infrastructure projects. Professionals in this field use machine learning, statistical analysis, and big data tools to improve structural design, traffic systems, and environmental sustainability. They work with large datasets from sensors, GIS systems, and simulations to enhance decision-making in construction, transportation, and urban planning.

Can you make $500,000 as a civil engineer?

Data science civil engineering is a specialized field combining data analysis with civil engineering. While high salaries are possible for senior or specialized roles, earning $500,000 annually is uncommon and typically requires extensive experience, advanced skills, leadership positions, or working in high-cost regions or consulting firms.

Can a civil engineer become a data scientist?

A civil engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional education or training in data analysis tools like Python, R, and SQL. Their background in engineering and problem-solving can be advantageous in data-driven roles, but transitioning typically requires gaining expertise in data science methodologies and relevant software. Certifications or courses in data analysis and experience with large datasets can facilitate this career shift.

What engineers make $500,000?

Senior civil engineers with extensive experience, specialized skills, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in consulting or managerial positions. Achieving this level often requires advanced certifications, a strong track record, and working in high-demand or high-cost regions.

What are the key skills and qualifications needed to thrive in the Data Science Civil Engineering position, and why are they important?

To excel in Data Science Civil Engineering, you need a strong background in civil engineering principles along with expertise in data analytics, statistical modeling, and programming languages such as Python or R. Familiarity with tools like MATLAB, GIS software, machine learning libraries, and certifications in data science or engineering analysis is often required. Strong problem-solving abilities, communication skills, and the capacity to work collaboratively with interdisciplinary teams distinguish top professionals in this field. These skills are crucial for driving data-informed decisions, optimizing engineering designs, and effectively addressing complex infrastructure challenges.

What are typical daily responsibilities for someone working in Data Science within Civil Engineering?

Professionals in Data Science Civil Engineering routinely analyze large datasets related to construction, infrastructure performance, and environmental variables to inform design and maintenance decisions. Daily tasks may include developing predictive models, preparing visualization dashboards, interpreting sensor data, and collaborating with civil engineers to translate data insights into actionable project recommendations. The role often requires close teamwork with engineering, IT, and project management staff to ensure that analytical findings align with project goals and regulatory requirements. This blend of technical and collaborative work makes each day dynamic and impactful, contributing directly to improved safety, efficiency, and sustainability in civil engineering projects.

What are popular job titles related to Data Science Civil Engineering jobs in Alberta? For Data Science Civil Engineering jobs in Alberta, the most frequently searched job titles are:
Infographic showing various Data Science Civil Engineering job openings in Alberta as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $103,286 per year, or $49.7 per hour.
Data Science Manager

Full-time

Life, PTO

Posted 18 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services


Job description

Job Type: Permanent 
Work Model: 
Hybrid 
Reference code: 
133499   
Primary Location: 
Calgary, AB  
All Available Locations: 
Calgary, AB; Edmonton, AB; Vancouver, BC; Victoria, BC

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
--
What will your typical day look like?

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics, customer analytics, marketing analytics, and optimization solutions. You will take a lead in delivering advanced analytics solutions and advisory services to high-growth organizations, managing and supporting a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

You will be responsible for client communication, from sales and business problem definition to final delivery, knowledge transfer, and model maintenance. You will guide your team through solutioning and delivery, including advanced analytics model design and development, insight generation, and the development of AI and ML models. As a key part of this process, you will make most appropriate model selection and ensure quality and delivery of statistical and AI/ML models, computations, and data ETL by the data science team, to deliver best-of-breed analytical solutions for clients’ business problems. You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will be a principal link between data science team and the client and will regularly communicate insights on client projects and provide support in planning and data collection. You will both lead and support pitches and proposal bids to drive business development.

About the team

Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-one experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

Enough about us, let’s talk about you

You are someone with these required skills, experience and qualifications:
•    5+ years of experience in applying analytics or model development using data in a professional context.
•    Significant experience with statistical techniques, data mining, optimization (linear programming), and predictive models.
•    Proficiency in hands-on data analysis and modeling using Python.
•    Experience with databases and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration.
•    Experience with cloud ML platforms (AWS, GCP, Azure) is an asset.
•    Experience with natural language processing, computer vision, and/or GenAI is an asset.
•    Advanced degrees (MSc, equivalent, or higher) in Statistics, Applied Mathematics, Mathematical Physics, Computer Science, or a related field is required.
•    BA/BSc degree in these fields will be considered if coupled with significant industry experience demonstrating proven success in leading complex projects.
It would be great for you to have some of these nice-to-haves as well:
•    Leadership or management experience, including project management in analytical, ML, or data-driven fields.
•    Proven track record in leading teams for end-to-end delivery of advanced analytics, data science, or AI/ML solutions.
•    Ability to understand the business significance of data, handle data ambiguity, develop creative analytical solutions, and interpret results from a business perspective.
•    Enthusiasm for solving complex problems with various analytical tools.
•    Strong oral and written communication skills, with the ability to convey complex technical information to non-technical stakeholders.
•    Interest in continuing to develop analytical and business development skills.
•    Professional services, consulting, or advisory experience is an asset.

Total Rewards


The salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.


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