Data scientist jobs in Mississauga, ON and nearby

Within 25 km

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Added 2 months ago
CG
Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation
Toronto, ON
- Full-time
…transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience,…
Added 2 months ago
SM
Senior Data Scientist
Spin Master
Toronto, ON
- Full-time
You'll be the analytical link between raw data and business growth: not just reporting what the KPIs say but explaining why they moved and what to do next. When M1 retention dips or…
Added 3 months ago
EL
Fraud Data Scientist
EnStream LP
Toronto, ON
- Full-time
We’re accelerating two high-priority fraud detection and prevention initiatives and need a hands-on Fraud Data Scientist. This role sits at the intersection of investigative analysis,…
Added 3 months ago
ES
Machine Learning Engineer - Express Scripts Canada
Express Scripts Pharmacy Benefit Services
Mississauga, ON
- Full-time
…Team. The successful candidate will design, build, and operate data pipelines and ML services that detect unusual patterns in healthcare claims and…
Added 3 months ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
…that can ensure solutions are performing as expected and make data-driven decisions on where to invest. Purpose-built for healthcare and informed by experience managing AI at scale, Signal…
Added 3 months ago
P
Senior Machine Learning Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
Must have the legal right to work in Canada and be willing to relocate to Toronto
Added 2 months ago
IDD Data & Analytics Specialist
Aecon
Toronto, ON
Reporting to IDD Data & Analytics Lead, the IDD Analytics Specialist will be responsible for collecting, analyzing, transforming, and presenting data from various business systems to…
Added 3 months ago
P
Data Scientist - Hybrid
Pelmorex
Oakville, ON
- Full-time
We are seeking a versatile and highly skilled Data Scientist to join our dynamic team. This role is pivotal in driving data-driven decision-making across our B2B initiatives, with…
Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Added 3 months ago
4E
Senior Data Scientist
407 ETR
Woodbridge, ON
- Full-time
…on pricing, marketing and customer travel behavior. The Sr. Data Scientist will assist the Director of Data Analytics and other key stakeholders to bring actionable data driven solutions to…
Added 3 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
Added 2 months ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 3 months ago
AL
Senior Machine Learning Scientist (CA)
Altis Labs
Toronto, ON
- $175,000 to $300,000 CAD / year
- Full-time
…patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with…
Added 3 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON
- Full-time
A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.
Added 3 months ago
IC
AI / Machine Learning Engineer
Infoya Career Connect
Toronto, ON
- $85,000 to $105,000 CAD / year
- Full-time
…solve real-world business challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable AI solutions using modern cloud and MLOps…
Added 3 months ago
TK
Senior Data Architect
The Kraft Heinz Company
Toronto, ON
- Full-time
This position implements and maintains domain specific data architecture at Kraft Heinz, ensuring assigned data assets are properly organized, structured, and secured. Collaborate with…
Added 3 months ago
O
Machine Learning Engineer
Opendoor
Toronto, ON
- Full-time
You run at unclear problems. The most valuable problems here don't come with a playbook - messy data, imperfect ground truth, markets that shift under you. Ambiguity is the job, not an…
Added 2 months ago
Data Scientist, Fraud
Stripe
Toronto, ON
We're looking for a Data Scientist to join the Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems.…
Added 3 months ago
PI
Lead Data Scientist
Princeton IT Services, Inc
Toronto, ON
- Full-time
…transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions,…
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an es
Added 3 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced analytics and AI models. Leverage statistical…
Added 4 months ago
O
Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…while effectively coordinating with signal processing, clinical data, and product teams. The ideal candidate will have strong expertise in processes, pipelines, operations, QA, and writing…
Added 4 months ago
O
Machine Learning Scientist (Graduate/Postdoc Level) - Contract
Oncoustics
Toronto, Ontario
- Contract
Adapt and optimize existing deep learning models for challenging data cases
Added 4 months ago
O
Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…players. We are looking to hire an experienced ML Engineer/Data Scientist to join our team with relevant academic experience and industry experience. A successful candidate will be able to…
Added 4 months ago
EN
Principal Data Scientist-Gen AI, Machine Learning (10042)
Extreme Networks
Toronto, Ontario
- Full-time
Principal Data Scientist – (Gen AI, Machine Learning)

Express Scripts Pharmacy Benefit Services

Machine Learning Engineer - Express Scripts Canada

Mississauga, ON, Canada

Hybrid

Pay Range: $115,000 - $125,000 annually · Full-time

Apply on LinkedIn About employer

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Job details

Pay: Pay Range: $115,000 - $125,000 annually
Job type: Full-time
Workplace: Hybrid
Posting language: English
Posted: Jul 29, 2026

Original job description

Job Description

Job Title: Machine Learning Engineer

Location: Mississauga

Employment Type: Full-time

Reason for Vacancy: Replacement

Work Arrangement: Hybrid

Department Name: Application Delivery Department

Pay Typed: Salaried

Pay Range: $115,000 - $125,000 annually

Please note that this is a general posting range and offer range will be varied based on relevant experience, qualifications, skills required and location for this role.

About Us

Express Scripts Canada (ESC) is the leader in health benefits management. Serving over 12 million members, we help insurance carriers, third party administrators, and the public sector optimize the value of health benefits by linking the talent and professional expertise of our people with leading edge

information management systems and technology. Express Scripts Canada is a wholly owned subsidiary of Express Scripts, one of the largest pharmacy benefit management (PBM) companies in North America, part of The Cigna Group (NYSE: CI), a global health company. Together, we deliver innovative,

cost-effective solutions that improve access, affordability, and health outcomes for Canadians.

Job Summary

Express Scripts Canada is looking for a Machine Learning Engineer to join our Team. The successful candidate will design, build, and operate data pipelines and ML services that detect unusual patterns in healthcare claims and pharmacies.

The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll ensure the best possible performance, quality, and responsiveness of the applications and pipelines, and help maintain code quality, organization, and automation.

Key Responsibilities

Design & implement ML data pipelines to ingest, engineer, and persist features from Oracle (SQLAlchemy/oracledb), including robust logging, argument-driven CLI tools, and environment-based configuration (.env).
Build and validate unsupervised ML models (e.g., MiniBatchKMeans/KMeans, DBSCAN) with dimensionality reduction (TruncatedSVD/PCA), leveraging chunked processing and sparse matrices for large datasets; evaluate using silhouette/Calinski-Harabasz/Davies-Bouldin and stability checks.
Serve models as REST APIs (ie. FastAPI/Pydantic) with health endpoints, CORS, structured response models, and joblib artifact loading; instrument application logs and operational run scripts.
Orchestrate end-to-end validation (DB → feature engineering → API scoring → curated outputs), writing curated results back to Oracle tables and creating/maintaining schemas and DDL where required.
Collaborate with business teams to interpret clusters/risk buckets, explain top contributing features, and incorporate feedback loops into subsequent runs and outputs.
Support deployment workflows in sandboxed/on-prem environments; participate in CI/CD (e.g., Jenkins/OpenShift pipelines) as part of model operationalization.
Ensure performance, quality, and responsiveness of data pipelines and APIs; help maintain code quality, organization, and automation; perform code reviews and follow Agile ceremonies.
Understand how AI is interpreting the data set and use that understanding to build prompt that lead to expected outcomes
Develop and maintain AI pipelines including data preprocessing, feature extractions, model training, and evaluation

What We’re Looking For

5+ years application development experience;3–5 years of professional experience in data science / machine learning engineering with Python, including productionizing data pipelines or ML services
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
Core programming (Python): Strong with NumPy, pandas, scikit-learn, SciPy (sparse), joblib, CLI (argparse), and data visualization (matplotlib/seaborn).
Modeling (Unsupervised): Practical experience with MiniBatchKMeans/KMeans, DBSCAN, TruncatedSVD/PCA, cluster evaluation (silhouette, CH, DB), and stability/bootstrapping.
Data engineering and Oracle: Writing performant SQL; using SQLAlchemy and oracledb for reads/writes; creating tables/DDL; batch inserts; column/type normalization.
ETL pipelines: Feature engineering over large volumes with chunked processing, environment-aware configs (.env), robust logging, and CSV/DB outputs.
APIs and integration: Batch prediction flows via REST (e.g., httpx client) and schema-compatible exports
Version control and CI/CD: Proficient with Git; familiarity with Jenkins/OpenShift pipelines and on-prem deployment constraints.
Experience in Healthcare domain with exposure to Fraud, Waste, and Abuse detection in pharmacy/claims, risk scoring thresholds, and audit support artifacts considered a strong asset.
Experience with on-prem, masked datasets and familiarity with Docker/OpenShift deployment patterns for ML APIs.

Why Join Us

Competitive compensation, benefits and pension plan
Career development and advancement opportunities
A culture that celebrates innovation and collaboration
Flexible work options and wellness programs

Pre-Employment Requirements

All offers of employment are conditional upon the successful completion of reference checks and background verification in accordance with company policy. Within ESC, for certain positions, obtaining and maintaining a federal government security clearance is a bona fide occupational requirement. Candidates applying for such roles must meet all eligibility criteria for the applicable clearance level and consent to the security screening process as mandated by federal regulations. Failure to obtain or maintain the required clearance will result in withdrawal of the offer or termination of

employment.

Our hiring process includes AI-powered tools to conduct video interviews, take notes and score candidates; however, all scores will be reviewed by hiring managers and our Talent team before making a decision.

Express Scripts Canada Is a Cigna Company

Express Scripts Canada is a subsidiary of Express Scripts, a Cigna company. Cigna Corporation (NYSE: CI) is a global health service company dedicated to improving the health, wellbeing and peace of mind of those we serve. Cigna offers an integrated suite of health services through Cigna, Express Scripts, and our affiliates including medical, dental, behavioural health, pharmacy, vision, supplemental benefits, and other related products.

About Express Scripts Canada

Express Scripts Canada is a leading health benefits manager and has been recognized as one of the most innovative. Our clients include Canada's leading insurers, third party administrators and governments. We work with these clients to develop industry-leading solutions to deliver superior healthcare in a cost-controlled environment. We provide Active Pharmacy™ services to more than 7 million Canadian patients and adjudicate more than 100 million pharmacy, dental, and extended health claims annually. Through our proprietary consumer intelligence, clinical expertise, and patients-first approach, we promote better health decisions for plan members, while managing and reducing drug benefit costs for plan sponsors.

It will be a condition of employment that the successful candidate obtains an Enhanced Reliability Clearance from the Federal Government. The candidate will be required to provide supporting documentation to receive clearance if required.

We offer a competitive salary and benefits package, along with a positive work environment built on solid corporate values, integrity, mutual respect, collaboration, passion, service and alignment.

We are an equal opportunity employer that promotes a diverse, inclusive and accessible workplace. By embracing diversity, we build a more effective organization that empowers our employees to be the best that they can be.

We are committed to creating a working environment that is barrier-free and we are prepared to provide accommodation for people with disabilities.

If you require accommodation in completing the online application process, please email: eschr2@express-scripts.com Do not email eschr2@express-scripts.com for an update on your application or to provide your resume as you will not receive a response.

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More about this job

Responsibilities

Design and operate ML data pipelines and services to detect unusual patterns in healthcare claims and pharmacies. This includes building unsupervised models, serving them via REST APIs, and collaborating with business teams to interpret risk buckets.

Requirements

Requires 5+ years of application development experience and 3-5 years of professional experience in data science or ML engineering with Python. A bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field is required.

Skills

Python
Machine Learning
Data Engineering
Oracle SQL
FastAPI
Unsupervised Learning
Scikit-learn
Pandas
NumPy
CI/CD
Git
REST APIs
ETL Pipelines
Docker
OpenShift
Healthcare Data Analysis

Benefits

Competitive Compensation
Benefits Plan
Pension Plan
Career Development And Advancement Opportunities
Flexible Work Options
Wellness Programs

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
Oracle
SQLAlchemy
FastAPI
Pydantic
KMeans
DBSCAN
PCA
TruncatedSVD
Scikit-learn
Pandas
NumPy
SciPy
Joblib
Jenkins
OpenShift
Docker
ETL
REST API
Healthcare
Fraud Detection
Waste and Abuse
Agile
Git
CI/CD
Data Pipelines
Feature Engineering
Unsupervised Learning
Cluster Evaluation

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Data scientist jobs in Mississauga, ON and nearby

Senior Machine Learning Engineer, Causal & Decision Systems

Senior Data Scientist

Fraud Data Scientist