Data Scientist developing fraud detection solutions for Desjardins, North America's largest cooperative financial group. Applying data science expertise to protect financial products and services from fraud.
About the role
- Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data-driven tools.
Responsibilities
- Analyze complex, large-scale datasets to uncover patterns, trends, and opportunities that translate into actionable insights and measurable business value
- Design, develop, deploy, and maintain predictive models and machine learning solutions supporting business and operational use cases
- Build AI-powered applications and AI agents leveraging Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, and tool integration
- Research, evaluate, and prototype emerging AI, machine learning, and agentic technologies and assess their applicability within telecom and networking environments
- Develop solutions supporting network operations, automation, incident analysis, anomaly detection, knowledge assistance, customer support, and decision support
- Partner closely with cross-functional stakeholders to define use cases, translate requirements, and deliver scalable, production-ready solutions
- Define and apply evaluation methods and performance metrics for machine learning and LLM-based systems, including quality, reliability, latency, and business impact
Requirements
- Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field
- Proven experience in a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role
- Strong proficiency in Python and hands-on experience with data science and machine learning libraries
- Experience building and deploying machine learning models in production or near-production environments
- Practical experience with Large Language Models (LLMs) and generative AI applications, including prompt engineering, model integration, or retrieval-augmented generation (RAG)
- Solid understanding of AI agent concepts including orchestration, tool use, planning, memory, guardrails, and human-in-the-loop approaches
- Strong foundation in data structures, software design, system architecture, and analytical problem-solving
Benefits
- medical, dental, and vision plans
- participation in 401(K) (USA) & DCPP (Canada) with company matching
- Employee Stock Purchase Program (ESPP)
- Employee Assistance Program (EAP)
- company-paid holidays
- paid sick leave
- vacation time
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist II applying SQL, Python, machine learning, and AI to Life & Health insurance products at TD Bank. Developing strategies and insights for better decisions.
Senior Data Scientist developing AI, analytics, and automation solutions for Desjardins, North America’s largest cooperative financial group. Building Finance prototypes, models, and AI agents for production.
Lead Analytics Consultant shaping Adobe Analytics and CJA strategies for Bounteous, a global AI services firm. Advising clients, designing implementations, and translating data into executive action.
Senior Data Scientist developing machine learning, GenAI agents, and analytics solutions for Sun Life’s Canadian financial - services business units. Leading technical delivery, stakeholder recommendations, and mentoring.
LP
Intermediate Data Scientist
LinkedIn Recruiter Post
Intermediate Data Scientist needed for AI company in insurance. 6 - month contract, 3 days/week in Toronto.
LP
Senior Data Scientist (GCP & Machine Learning)
LinkedIn Recruiter Post
Senior Data Scientist needed for 12 - month contract, remote - first with 1 day/month onsite in North York, ON. Must have Python, SQL, GCP (Vertex AI & BigQuery), and forecasting experience.
Delivery Lead driving Prime infrastructure strategy at TD Securities, a capital markets investment bank. Coordinating cross - functional transformation, regulatory delivery, and expansion of TD Arranged Services.
Technical Program Manager driving audit readiness for Kraken’s global crypto and open - finance infrastructure. Coordinating audits, governance, inventories, playbooks, and auditor data access for Payward’s data platform.
Senior Data Scientist driving analytics for Jerry.ai’s AI - powered car and home ownership platform. Defining metrics, experiments, and recommendations across growth, product, automation, and partnerships.