IT & data jobs in Canada

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Added 28 days ago
AL
Technical Support Analyst - French speaking
Acturis Limited
Victoria, BC
- Full-time
Hybrid work schedule: work from home up to 3 days per week
Added 28 days ago
IG
Data Engineer
Insight Global
Vancouver, BC
- $70 to $75 CAD / hour
- Contract
Data pipeline creation and maintenance. Stack: Azure Cloud, Azure Databricks, Snowflake
Added 28 days ago
AP
Senior Business Systems Analyst
Atlantic Packaging Products Ltd.
Toronto, ON · Scarborough, ON
- $100,000 to $120,000 CAD / year
- Full-time
…underpin Atlantic’s digital strategy, which is focused on systems, data, and…
Added 28 days ago
AS
ISI Data Analyst - Asset Integrity
Aker Solutions
Fort McMurray, AB
- Full-time
Our Asset Integrity Management Team in Fort McMurray, AB is seeking ISI Data Analyst to support the integrity management of pressure piping systems across operating facilities. This role is…
Added 28 days ago
Software Development Manager (SDM), Amazon Compensation Technology (ACT)
Amazon
Vancouver, BC
Added 28 days ago
UT
L2 IT Support Technician
Ultreia Tech
Montreal, QC
- $70,000 to $85,000 CAD / year
- Contract
Added 28 days ago
ZS
Sr. IFRS17 Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Demonstrated knowledge of IFRS17, data analysis, and the insurance domain.
Added 28 days ago
DSS Data Analyst 2
Symcor
Mississauga, ON
The Data Analyst 2 supports the development, maintenance, analysis, and monitoring of data and reporting solutions across the COR.IQ product portfolio. This role supports the Data Analyst 3…
Added 28 days ago
TD
Online Data Analyst - French speakers needed
TELUS Digital
Remote, Canada
- Contract
- Remote
…discover, to find their way. But maps are only as accurate as the data behind them, and data is only as trustworthy as the people who verify it. Your knowledge of Canada's geography, local…
Added 28 days ago
Senior IT Support Engineer
Pantheon Systems, Inc
Vancouver, BC
Contribute to support reporting and service improvements by using ticket and asset data to identify trends, gaps, and opportunities for better tooling or process.
Added 28 days ago
SS
Software Development Manager, FME Flow
Safe Software
Remote, Canada
- $155,100 to $173,300 CAD / year
- Full-time
- Remote
…designers to build the platform our customers rely on to run data integration at enterprise scale. FME Flow takes the workflows authored in FME Form and puts them to work as scheduled and…
Added 28 days ago
M
Senior Data Scientist
Mphasis
Calgary, AB
- Full-time
Experience: 4+ years of applied data science delivery
Added 29 days ago
EC
IT Service Desk Analyst (8-month Co-op)
Esri Canada
Toronto, ON
- Internship
Added 29 days ago
C
Senior Consultant - Data Analyst
Cognizant
Mississauga, ON
- Full-time
What You Must Have To Be Considered
Added 29 days ago
C
Technical Project Manager (AML)
CGI
Halifax, NS
- Full-time
Facilitate collaboration among Compliance, Legal, Business Data Stewardship, Engineering, Architecture, Product, and software development teams to align business requirements with technical…
Added 29 days ago
AO
Systems Administrator I
AMS of UBC
Vancouver, BC
- $40.35 CAD / hour
Added 29 days ago
TD
French Speakers - Online Data Analyst
TELUS Digital
Remote, Canada
- $16 to $17 CAD / hour
- Contract
- Remote
…discover, to find their way. But maps are only as accurate as the data behind them, and data is only as trustworthy as the people who verify it. Your knowledge of Canada's geography, local…
Added 29 days ago
MP
Greenhouse Systems Administrator
Mastronardi Produce
Kingsville, ON
- $60,000 CAD / year
- Full-time
Must have an expert understanding of Excel and Microsoft Project · Must have manual dexterity to perform computer skills
Added 29 days ago
ES
Technical Support Engineer L2
EN3 Solutions Ltd. (Canada)
Mississauga, ON
- Full-time
Availability for rotational morning and night shifts as required
Added 29 days ago
H
Senior Business Systems Analyst
Hays
Toronto, ON
- $55 to $65 CAD / hour
- Contract
Experience supporting large-scale data and technology transformation initiatives.
Added 29 days ago
CO
Network Administrator – Information Technology
City of Methuen
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
Added 29 days ago
CS
Data Modeler
Confiar Services
Toronto, ON
- $55 to $60 CAD / hour
- Contract
We are seeking an experienced Data Modeler with strong SQL, data analysis, data modeling, and KYC domain knowledge. The ideal candidate will support data mapping, sanction screening,…
Added 29 days ago
SH
Lead Data Scientist
Sensifai Health
Montreal, QC
- Full-time
Hands-on involvement in data analysis, prototyping, and validation to support product development.
Added 29 days ago
II
Lead Data Engineer
ITC Infotech
Canada
- Full-time
. This role is intended for a senior data Engineer/ Lead who combines deep technical fluency with proven delivery leadership, driving predictable execution, engineering discipline, and…
Added 29 days ago
N
Technical Support Engineer
NETGEAR
Remote, Canada
- $67,000 to $76,000 CAD / year
- Full-time
- Remote

Mphasis

Senior Data Scientist

Calgary, AB, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 15, 2026
Experience: Experience: 4+ years of applied data science delivery
Posting language: English
Posted: Oct 16, 2026

Original job description

Job Title: Senior Data Scientist

Location: Canada or United States (US time zones)

Experience: 4+ years of applied data science delivery

About The Role

You will work as a forward deployed data scientist: embedded with enterprise clients, turning ambiguous business problems into working analytical and AI solutions, and staying with the work until it runs in their environment. This is a hands-on senior role. You will own problems end to end - scoping with stakeholders, wrangling messy client data, choosing methods that fit the constraints, building the solution, and handing it off in a state another team can operate.

Some engagements need something built from scratch. Many do not - the work is adopting, configuring and extending what already exists: our own products and accelerators, the client’s current platform, or a vendor tool. We are looking for people who are comfortable either way, who can tell which situation they are in, and who would rather extend a working solution than rebuild it.

We are looking for modern technical builders rather than notebook-only analysts: fluent with Python, SQL, Git, cloud and cloud data platforms, AI-native in how they work, credible in front of a client, and pragmatic about when a simple method is enough and when deeper modelling is warranted.

Education and background: a quantitative degree - statistics, computer science, engineering, operations research, economics, mathematics, physics, or similar. A master’s is preferred. A PhD is welcome but not expected. A strong bachelor’s candidate is equally of interest where there is clear evidence of applied delivery.

What You Will Do

Partner directly with client stakeholders to translate business problems into analytical problems - and push back when the framing is wrong.
Build reliable analytical assets on messy enterprise data: forecasting, optimization, ML, statistical models, and the pipelines around them.
Just as often, work with what is already there - configure and extend our existing products and accelerators, or the client’s existing tools, rather than rebuilding from scratch.
Put something in a stakeholder’s hands early - a prototype app, a dashboard, a clear analysis - and iterate from real feedback.
Ship code others can reuse: tested, documented, reproducible, reviewed.
Work alongside data engineers and ML engineers through to deployment, rather than throwing work over the wall.
Use LLMs and AI coding tools to move faster, while keeping statistical judgment and final review your own.
Raise the level of the people around you: review work and mentor less experienced colleagues.

Required

Engineering and tooling

Strong proficiency in Python and SQL, at a level where your code goes to other people rather than only into your own notebook.
Comfortable with Git, pull requests, code review, terminal workflows, package management, and reproducible environments.
Working experience on at least one major cloud (AWS, Azure, or GCP) and with a modern data platform such as Snowflake, Databricks, BigQuery, Redshift, Spark, or equivalent.
Able to turn exploratory analysis into reusable, tested, and documented code.
Comfortable working inside an existing codebase or product as well as starting from a blank page - reading someone else’s code, understanding how it works, and extending it without breaking it.
Able to independently troubleshoot common data, query, environment, and pipeline issues - failed jobs, broken queries, bad joins, package conflicts, data-quality problems - without immediately requiring an engineer.

Data science

Strong practical data science skills, including working with messy enterprise data and translating business problems into actionable analysis.
Working knowledge of forecasting, optimization, machine learning, and statistical methods - with the judgment to know when a simple method is sufficient, and the discipline to validate honestly (proper backtesting and out-of-time validation for time series, not just a random train/test split).
Able to answer “did this actually work?” with defensible evidence: experiment design and read-out, or quasi-experimental methods when a clean test is not possible.
Regular user of LLMs or AI coding tools for coding, analysis, debugging, testing, and documentation, while maintaining independent judgment. You should be able to explain what AI output you accepted, rejected, rewrote, and tested, and how you spot output that is plausible but wrong.
Basic understanding of production data/ML concepts, including pipelines, data quality, reproducibility, versioning, deployment, and monitoring.

Delivery and client work

Able to take an ambiguous request from a business stakeholder and turn it into a scoped piece of work, with a view on what is feasible in the time available.
Able to clearly communicate assumptions, limitations, findings, and recommendations to both technical and business stakeholders - in writing and in the room.
Able to make results usable: a lightweight app or dashboard (for example Streamlit, Dash, Plotly, or a BI tool) or a clean, well-argued document, depending on what the audience needs.
Comfortable working in someone else’s environment and under their constraints - client tooling, access restrictions, and shifting priorities - without stalling.

Also an Asset

Strong engineering practices, experience with advanced LLM workflows, and experience delivering in enterprise environments are an asset.

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2™=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Equal Opportunity Employer

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.

Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.

Apply on LinkedIn About employer

More about this job

Responsibilities

Partner with enterprise clients to scope ambiguous business problems and deliver practical analytical and AI solutions, from data preparation and modeling through deployment and handoff. Build and extend reusable, tested solutions, communicate findings to stakeholders, and mentor colleagues.

Requirements

Requires 4+ years of applied data science delivery, strong Python and SQL skills, experience with Git and at least one major cloud and modern data platform, and practical knowledge of forecasting, optimization, machine learning, and statistical methods. Candidates should be able to deliver end-to-end client work, communicate clearly with technical and business audiences, and use AI tools with independent judgment; a quantitative degree is expected, with a master's preferred.

Skills

Python
SQL
Git
Cloud Platforms
Cloud Data Platforms
Forecasting
Optimization
Machine Learning
Statistical Modeling
Experiment Design
LLMs
Data Pipelines
Data Quality
Production Deployment
Client Communication
Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Git
AWS
Azure
GCP
Snowflake
Databricks
BigQuery
Redshift
Spark
Forecasting
Optimization
Machine Learning
Statistical Modeling
LLMs
AI Coding Tools
Data Pipelines
Data Quality
Backtesting
Out-of-Time Validation
Experiment Design
Quasi-Experimental Methods
Streamlit
Dash
Plotly
Business Intelligence
Enterprise Data
Production Deployment
Code Review

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IT & data jobs in Canada

Technical Support Analyst - French speaking

Data Engineer

Senior Business Systems Analyst

ISI Data Analyst - Asset Integrity

Software Development Manager (SDM), Amazon Compensation Technology (ACT)

L2 IT Support Technician

Sr. IFRS17 Data Engineer

DSS Data Analyst 2

Online Data Analyst - French speakers needed

Senior IT Support Engineer

Software Development Manager, FME Flow