Machine Learning Engineer - Express Scripts Canada

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Mississauga, ON, CAN
In-Office
115K-125K Annually
Senior level
Healthtech • Insurance
The Role
Design, build, and operate data pipelines and ML services to detect unusual patterns in healthcare claims, focusing on model development and data engineering.
Summary Generated by Built In

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

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.

NOTE: Internal candidates should apply before April 17, 2026.

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: [email protected] Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response.

Skills Required

  • 5+ years application development experience
  • 3-5 years of professional experience in data science / machine learning engineering with Python
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
  • Strong with NumPy, pandas, scikit-learn, SciPy, joblib, CLI, and data visualization
  • Practical experience with unsupervised ML models and cluster evaluation techniques
  • Writing performant SQL and using SQLAlchemy for database operations
  • Experience with ETL pipelines and robust logging
  • APIs for batch prediction flows via REST
  • Proficient with Git; familiarity with Jenkins/OpenShift
  • Experience in Healthcare domain with exposure to fraud, waste, and abuse detection
  • Familiarity with Docker/OpenShift deployment patterns for ML APIs

Cigna Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cigna and has not been reviewed or approved by Cigna.

  • Strong & Reliable Incentives Strong bonus outcomes are frequently highlighted, with annual bonuses described as really good alongside above-average salary levels. Stock or long-term incentive elements are also noted as part of the overall package in some roles.
  • Leave & Time Off Breadth Time-off benefits are portrayed as a meaningful part of total rewards, including generous PTO and flexibility that can enhance the perceived value of compensation. Flexible work-from-home arrangements are repeatedly linked with satisfaction about the overall package.
  • Healthcare Strength Health coverage is described as broad in design, with preventive care often covered at no charge in-network and options like virtual care and wellness incentives. A large provider network and strong digital tools are positioned as practical advantages when using benefits.

Cigna Insights

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The Company
HQ: Bloomfield, CT
74,000 Employees
Year Founded: 1982

What We Do

At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind. As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable. Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.

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