Jobs in Coquitlam, BC and nearby

Jobs within 25 km of Coquitlam, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

35,604 listings · 6,538 employers Counted Nov 2, 2026. How we count

About these jobs

Employers hiring include Health Match BC (930 listings), Vancouver Coastal Health (912 listings), Fraser Health (816 listings).

Common roles: Registered nurse, Retail sales associate, Software engineer.

8,962 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	33.00	5,349
CAD / year	82,990.44	2,709
CAD / month	5,692.25	405
USD / hour	18.75	208
USD / year	90,000.00	115

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 19% hybrid, 81% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Coquitlam, BC and nearby

Within 25 km

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Added 3 days ago
MV
Environmental Regulatory Planner (Wastewater Source Control)
Metro Vancouver
Burnaby, BC
- Full-time
Added 3 days ago
BH
Senior Environmental Coordinator
BC Hydro
Burnaby, BC
- Full-time
Added 3 days ago
ES
Maintenance Supervisor: Grounds & Fabric
Equans Services Canada & US
Surrey, BC
- Full-time
Added 3 days ago
M&
Structural Engineer
McCuaig & Associates Engineering Ltd.
Burnaby, BC
- Full-time
Added 3 days ago
I
Senior Technology Designer
Introba
Vancouver, BC
- Full-time
Added 3 days ago
C
Program Manager - Retail Technology & AI
Cogniify
Vancouver, BC
- $175,000 to $183,000 CAD / year
- Full-time
Added 3 days ago
A
Lead Mechanical Engineer (Pipelines)
Ausenco
Vancouver, BC
- Full-time
Added 3 days ago
C
Service Delivery Manager
Cognizant
Vancouver, BC
- Full-time
Added 3 days ago
SM
Clinical Coordinator – Langley (Walnut Grove),BC
Snore MD
Langley (District), BC
- Full-time
Added 3 days ago
TH
Business Support Specialist
Tom Harris Cellular
Pitt Meadows, BC
- Full-time
Added 3 days ago
NF
Maintenance Systems & Reliability Lead
Natural Factors
Coquitlam, BC
- Full-time
Added 3 days ago
S
Administrative Secretary
Sanya’k̓ula
Vancouver, BC
- Full-time
Added 3 days ago
SR
Sr. Maximo Resource
Swim Recruiting
Vancouver, BC
- $115,000 to $125,000 CAD / year
- Contract
Added 3 days ago
UG
Research Associate in the Dempsey Lab
UBC Geography
Vancouver, BC
- Full-time
Added 3 days ago
AL
Accounting Manager
Accountants-BC Ltd.
Vancouver, BC
- Full-time
Added 3 days ago
C
Fabric Data Scientist
Capgemini
Vancouver, BC
- Full-time
Added 3 days ago
PI
Product Manager – Quantum System
Photonic Inc.
Coquitlam, BC
- $140,800 to $193,600 CAD / year
- Full-time
Added 3 days ago
RH
Accounting Manager
Robert Half
Vancouver, BC
- $100,000 to $130,000 CAD / year
- Full-time
Added 3 days ago
Senior Software Engineer - Networking
Tigera
Vancouver, BC
Added 3 days ago
S&
Billing Clerk
Smart & Biggar
Vancouver, BC
- Full-time
Added 3 days ago
CS
Ice Maintenance Person (Ticketed BC)
Canlan Sports
North Vancouver, BC
- Part-time
Added 3 days ago
RT
Service Technician
Rentokil Terminix
Vancouver, BC
- Full-time
Added 3 days ago
EE
Senior/Intermediate Regulatory Specialist/Aquatic Biologist Surrey, BC
ENKON Environmental Limited
Surrey, BC
- Full-time
Added 3 days ago
W
(CAN) Produce Stocker
Walmart
Surrey, BC
- Part-time
Added 3 days ago
W
Mechanical Engineer Level II
Worley
Vancouver, BC
- Full-time

Capgemini

Fabric Data Scientist

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 28, 2026
Education: Master’s degree
Posting language: English
Posted: Oct 29, 2026

Original job description

*Data Scientist - Microsoft Fabric (AutoML, MLFlow) / Foundry / Azure ML**

**Description**

The AI & Analytics practice group at Capgemini is expanding its footprint… rapidly. As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.

The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career

Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data

Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.)

Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Strong programming skills using Python, SQL, PySpark

Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn

Strong analytical, critical-thinking skills with demonstrated ability to identify/analyze/synthesize data and use the data to drive decisions

Superior communication and persuasion skills, talent for storytelling, visualization, and creating insights from data to deliver practical recommendations for business action

Good knowledge of calculus, linear algebra, statistics, and probability

Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required

**Must Have Skills**

•Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives

•Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations

•Analyze and model both structured and unstructured data to generate value using R and Python

Ideally, certified for Microsoft ecosystem for data science and machine learning

**Nice to have**

•Experience with Deep Learning methods in NLP & Computer Vision, Sentiment analysis, topic modeling and graph theory and databases

•Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai)

Apply About employer

More about this job

Responsibilities

Collaborate with global teams and clients to understand business needs, analyze structured and unstructured data, and build scalable AI and machine learning solutions. Present findings and data-driven recommendations to client executives, translating technical concepts into practical business actions.

Requirements

Requires strong knowledge of machine learning algorithms, statistical and advanced analytics methods, and programming with Python, SQL, PySpark, and R. A master's degree in a quantitative or analytical field is required; Microsoft data science or machine learning certification is desirable, along with strong analytical, communication, and presentation skills.

Skills

Machine Learning
Statistical Analysis
Python
SQL
PySpark
R
Pandas
NumPy
SciPy
Scikit-Learn
Microsoft Fabric
Azure Machine Learning
AutoML
MLflow
Data Visualization
Client Communication

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
AutoML
MLflow
Microsoft Foundry
Azure Machine Learning
Machine Learning
Artificial Intelligence
Deep Learning
Python
SQL
PySpark
R
Pandas
NumPy
SciPy
Scikit-Learn
PyTorch
TensorFlow
Keras
Natural Language Processing
Computer Vision
Sentiment Analysis
Topic Modeling
Graph Theory
Neo4j
Statistical Analysis
Data Visualization
Structured Data
Unstructured Data
Random Forest

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