Senior Data Scientist

EnStream is a leader in secure digital identity and mobile data intelligence, working to advance the future of digital trust in Canada. We build innovative data‑driven models that enhance the integrity, reliability, and safety of digital identity ecosystems. Our latest initiative leverages

advanced data science ,

machine learning , and

deep learning

to further

grow and sustain digital trust

across Canada. Our mission is to

empower frictionless trust in every interaction . EnStream is dedicated to increasing trust and convenience for Canadians using real‑life, verified identities and network data held by trusted telco networks. At EnStream, every team member plays a critical role in shaping our strategy and delivering meaningful impact across industries. About the Role

We are seeking a

Senior Data Scientist

to join EnStream’s

Data & AI team

and help design and build models that measure behavioural, relational and contextual integrity across the EnStream ecosystem. You will apply your expertise in

data wrangling, feature engineering, machine learning, and deep learning —with a strong preference for experience in

graph‑based

and

semi‑supervised learning —to develop models that are

explainable, scalable, and production‑ready . Additionally, you will conduct ad‑hoc statistical analysis to support production operations and future initiatives. What You’ll Do

Research, design, and prototype

Machine Learning/Deep Learning models

for identity trust and integrity scoring Prepare, clean, and engineer features from large, complex

telecommunications and fraud datasets Develop and evaluate

unsupervised and semi‑supervised learning

models (including graph‑based techniques) Collaborate with data and application engineering teams to

operationalize data engineering pipeline and AI/ML models Support

ad‑hoc statistical analysis, data visualization , and insight generation for exploratory studies and impact assessments Contribute to the design of

model monitoring , explainability, and drift detection frameworks Participate in peer reviews, documentation, and knowledge sharing within the Data & AI team What You Bring

Must‑Have Skills & Experience

Bachelor’s or higher degree in

Computer Science, Data Science, Engineering, Mathematics , or related field Domain knowledge in

fraud detection 5+ years

of hands‑on experience in

Data Science, Machine Learning, Deep Learning Proficiency in Python (e.g. numpy, pandas, PySpark, scikit‑learn, PyTorch/TensorFlow, matplotlib, seaborn), SQL, hyperparameter optimization framework (e.g., Ray Tune, Optuna, Hyperopt), and graph ML frameworks (e.g., PyTorch Geometric, NetworkX) What Sets You Apart

Domain knowledge in

digital identity

and

telecommunications Experience with advanced

Unsupervised

and

Semi‑Supervised

Learning techniques Experience in Data Engineering or ML Engineering Experience with AWS S3, SageMaker, and lakehouse architecture Experience implementing model monitoring, data/concept drift detection and explainability frameworks (e.g. SHAP, LIME) Why Join Us?

Contribute to a

national‑scale initiative

defining the future of

digital trust

in Canada Work on cutting‑edge

graph‑based semi‑supervised learning

applications using real‑world identity data Collaborate with a highly skilled, cross‑functional team Ready to Help Build a Safer Canada?

If you’re a systems thinker, trusted advisor, technical storyteller, and mission‑driven leader, we’d love to talk. EnStream is a trusted leader in secure mobile identity verification and data services in Canada. We work at the intersection of technology, telecommunications, and data privacy—enabling businesses and governments to deliver seamless, secure digital experiences to their customers. Jointly owned by Canada’s largest telecom providers, EnStream harnesses network data and advanced analytics to provide reliable digital identity solutions.

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