Calgary, AB · On-site
CA$168K - CA$218K/yr
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...
Calgary, AB · On-site
CA$168K - CA$218K/yr
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...
Calgary, AB · On-site
Spatially-aware machine learning models that incorporate geometry, location, and temporal context as first-class inputs. AI-powered spatial analytics and pattern detection systems that find signal in ...
Calgary, AB · On-site
Spatially-aware machine learning models that incorporate geometry, location, and temporal context as first-class inputs. AI-powered spatial analytics and pattern detection systems that find signal in ...
Experience with data warehousing, large-scale data processing, and analytics, with exposure to machine learning techniques and their application in business decision-making. Preferred Qualifications:
Experience with data warehousing, large-scale data processing, and analytics, with exposure to machine learning techniques and their application in business decision-making. Preferred Qualifications:
Experience with data warehousing, large-scale data processing, and analytics, with exposure to machine learning techniques and their application in business decision-making. Preferred Qualifications:
Experience with data warehousing, large-scale data processing, and analytics, with exposure to machine learning techniques and their application in business decision-making. Preferred Qualifications:
Develop asset analytics dashboards, visualizations, digital twins and geospatial visual ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Develop asset analytics dashboards, visualizations, digital twins and geospatial visual ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Develop asset analytics dashboards, visualizations, digital twins and geospatial visual ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Develop asset analytics dashboards, visualizations, digital twins and geospatial visual ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Develop asset analytics dashboards, visualizations, digital twins and geospatial visual ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Develop asset analytics dashboards, visualizations, digital twins and geospatial visual ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Develop asset analytics dashboards, visualizations, digital twins and geospatial visual ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Develop asset analytics dashboards, visualizations, digital twins and geospatial visual ... Support the development of new decision-making technologies leveraging advanced machine learning ...
CA$80K - CA$120K/yr
Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Analytics) is preferred. * Basic understanding of software development, system architecture, and ...
CA$80K - CA$120K/yr
Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Analytics) is preferred. * Basic understanding of software development, system architecture, and ...
Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to enhance data quality checks, anomaly detection, and reporting efficiency, or demonstrate a genuine ...
Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to enhance data quality checks, anomaly detection, and reporting efficiency, or demonstrate a genuine ...
... Machine Learning (ML), Microsoft Azure, MLflow, ML Integration, MongoDB, Predictive Analytics, Programming Languages, Python (Programming Language), Red Hat OpenShift Additional Job Details Address ...
... Machine Learning (ML), Microsoft Azure, MLflow, ML Integration, MongoDB, Predictive Analytics, Programming Languages, Python (Programming Language), Red Hat OpenShift Additional Job Details Address ...
Calgary, AB · On-site +1
CA$43.90 - CA$60.40/hr
Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects ...
Calgary, AB · On-site +1
CA$43.90 - CA$60.40/hr
Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects ...
Calgary, AB · On-site +1
CA$43.90 - CA$60.40/hr
Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects ...
Calgary, AB · On-site +1
CA$43.90 - CA$60.40/hr
Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects ...
Calgary, AB · Hybrid
... machine learning, data science, or advanced analytics platforms Preferred Qualifications * Demonstrated experience developing enterprise security architectures * Strong understanding of AI/ML ...
Calgary, AB · Hybrid
... machine learning, data science, or advanced analytics platforms Preferred Qualifications * Demonstrated experience developing enterprise security architectures * Strong understanding of AI/ML ...
Edmonton, AB · On-site
Responsibilities Gain proficiency in exploratory data analysis, perform it, and present insights. Prepare data sets for visualization and machine learning modeling. Train machine learning systems ...
Edmonton, AB · On-site
Responsibilities Gain proficiency in exploratory data analysis, perform it, and present insights. Prepare data sets for visualization and machine learning modeling. Train machine learning systems ...
Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...
Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...
Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...
Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present insights. • Prepare data sets for visualization and machine learning modeling. • Train machine learning ...
Analyze surface and downhole data to generate insights on wellbore pressure, flow dynamics, and ... Experience with real-time drilling data, machine learning algorithms, and IoT applications. * Solid ...
Quick apply
Analyze surface and downhole data to generate insights on wellbore pressure, flow dynamics, and ... Experience with real-time drilling data, machine learning algorithms, and IoT applications. * Solid ...
Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases. * Build and optimize data workflows using Python and SQL for ...
Quick apply
Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases. * Build and optimize data workflows using Python and SQL for ...
Analyze surface and downhole data to generate insights on wellbore pressure, flow dynamics, and ... Experience with real-time drilling data, machine learning algorithms, and IoT applications. * Solid ...
Quick apply
Analyze surface and downhole data to generate insights on wellbore pressure, flow dynamics, and ... Experience with real-time drilling data, machine learning algorithms, and IoT applications. * Solid ...
To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.
A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.
Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.
CA$168K - CA$218K/yr
Full-time
Re-posted 28 days ago
8.3
Based on 76 frontline employees who took The Breakroom Quiz
27th of 72 rated business consultants
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
AnalyticsManagement Level
Senior ManagerJob Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.The Opportunity:
As anAI & Advanced Analytics, Senior Manager,unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevate your career.Our AI & Advanced Analytics practice is growing, andwe'relooking for aSenior Managerto lead a portfolio of client engagements, drive business development, and help shape the direction of our AI capability in Western Canada.
As a Senior Manager,you'lloperateas a key leader within the practice, accountable fordeliveryquality across multiple concurrent engagements, trusted advisor to clients, and an active contributor to the growth of our pipeline and our people.You'lllead AI programs end-to-end: setting up governance andoperatingmodels, directing technical teams to build and deploy AI solutions, and ensuring clients realize measurable value.
This is a client-facing role withsignificant timespent on-site or in PwC offices.The location of this role is in Calgary, Alberta.
Your role will include, butisn'tlimited to:
Lead multiple concurrent client engagements, owningdelivery quality, commercial performance, risk, and client satisfaction.
Direct full-lifecycle AI programs-from use case identification and prioritization through model development, deployment, and value realization.
Establish andoperateAI governance frameworksfor clients, including responsible AI, model risk management, data governance, and operating model design.
Build theoperational backboneof client AI programs: intake, prioritization, delivery cadences,MLOps, and performance measurement.
Provide direction to data scientists, ML engineers, and data engineers as theydesign, build, and deployproductionAI/ML solutions.
Act as a trusted advisor tosenior client executives, shaping AI strategy and translating it into actionable roadmaps.
Manage senior stakeholder relationships across business, technology, and risk functions, aligning competing priorities and driving outcomes.
Communicate complex technical concepts to non-technical audiences with clarity and credibility.
Contribute to the practice's commercial agenda:identifyand qualify opportunities, lead proposals and RFP responses, and shape solution offerings.
Expand existing accounts byidentifyingadjacentvalueand bringing the right PwC capabilities to the table.
Contribute to thought leadership, points of view, and go-to-market assets that strengthen our market position.
Lead, coach, and develop managers, consultants, and technical specialists across your engagements.
Provide performance feedback, mentorship, and career sponsorship as part of PwC's coaching culture.
Contribute to recruiting, onboarding, and capability building within the practice.
What You'll Bring:
Your skills, knowledge, and experiences are what set you apart.Here'swhat we look for:
Experienceidentifying, prioritizing, and delivering AI / advanced analytics use cases end-to-end
Experience building and running AI programs, including governance and strategy/operations components
Proven ability to work with senior stakeholders (including C-suite) to define business outcomes from AI initiatives
Strong client-facing and delivery experience, working across both business and technical teams
Demonstratedtrack recordof delivering AI/analytics solutions in real environments
Consulting experience (boutique or large firms) strongly preferred, with a profilesimilar tohigh-performing consultants
Ability to translate business problems into scalable AI use cases and drive execution
Experience coordinating cross-functional teams to implement and deploy solutions
Preferred industry exposure to utilities & energy or public sector (nice-to-have, not mandatory)
Master's degreerequired(e.g., Computer Science, MBA, or similar)
Technical background is a plus but notrequired
This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.
The salary range for this position is $168,000 - $218,000. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.
Whyyou'lllove PwC
We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc
PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 25 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
April 8, 2026We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).
