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Senior AI Data Scientist

  • Montreal, QC, Canada

Full-time

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Job details

Job type
Full-time
Apply by
Experience
a related field and 7 to 10 years of relevant experience
Posting language
English
Posted

Original job description


A career as a Senior AI Data scientist in the Hyper Automation – Cross-sector Solutions, Acceleration and Data team at National Bank means serving as an applied Artificial Intelligence specialist. This position allows you to have a concrete impact on the performance and evolution of an enterprise platform thanks to your expertise in applied data science, model evaluation and continuous improvement. You contribute directly to the quality, reliability and evolution of an intelligent document processing platform used on a large scale. Your role focuses on measurable results, improving models in production and delivering concrete value to business teams.

Your job

  • Define and develop quality metrics
    related to classification, extraction, validation and confidence scores
  • Build and maintain the reference,
    validation and test data sets needed to evaluate models
  • Analyze production results and
    identify the causes of problems in order to propose concrete improvements
  • Help develop models, prompts,
    confidence thresholds and validation rules
  • Compare different versions to
    detect regressions and support releases
  • Track performance over time to
    identify drifts and recommend adjustments

Your team

Cross-sector Solutions, Acceleration and Data, you are part of a multidisciplinary team of specialists in business analysis, development, architecture and operations. It is also a specialised team that works in an agile, proactive and collaborative manner to improve processes and develop automation capabilities across the Bank. You work in a collaborative environment where quality, discipline and continuous improvement are at the heart of our priorities.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites

  • A bachelor’s or master’s degree in
    a related field and 7 to 10 years of relevant experience
  • Experience in model evaluation,
    advanced analytics or improving solutions in production
  • Master the concepts related to
    performance metrics, validation and monitoring of models
  • Solid experience with Python and
    solid knowledge of SQL
  • Understand artificial intelligence
    issues in production, including robustness, drift, governance and security
  • Experience manipulating structured
    and unstructured data





Languages: French, English
Reason to require this language: you will need to discuss frequently with our service providers or partners who speak a language other than French.
Required skills: Artificial Intelligence, Communication, Data pipeline, Data Structures, Data Visualization, Data-Driven Decision-Making, Detail-oriented, Diversity & Inclusion, Initiative, Learning Agility, Performance Analysis, Problem Solving, Python, Resiliency, Teamwork

Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!
More about this job

Responsibilities

Define and maintain evaluation metrics and reference, validation, and test datasets for an intelligent document processing platform. Analyze production performance, improve models and validation processes, compare releases for regressions, and monitor performance trends and drift.

Requirements

A bachelor’s or master’s degree in a related field and 7 to 10 years of relevant experience are required, along with experience evaluating models or improving production solutions. Candidates should have strong Python and SQL skills, knowledge of model metrics, validation and monitoring, experience with structured and unstructured data, and an understanding of production AI robustness, drift, governance, and security.

Skills

  • Artificial Intelligence
  • Communication
  • Data Pipelines
  • Data Structures
  • Data Visualization
  • Data-Driven Decision-Making
  • Attention to Detail
  • Diversity and Inclusion
  • Initiative
  • Learning Agility
  • Performance Analysis
  • Problem-Solving
  • Python
  • Resilience
  • Teamwork
  • SQL

Benefits

  • Health and Wellness Program
  • Flexible Group Insurance
  • Pension Plan
  • Employee Share Ownership Plan
  • Employee and Family Assistance Program
  • Preferential Banking Services
  • Community Initiatives
  • Telemedicine Service
  • Virtual Sleep Clinic

Visa sponsorship

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Categories

  • Data & Analytics
  • Technology
  • Science & Research
  • Software
  • Finance & Accounting

Keywords

  • Artificial Intelligence
  • Applied Data Science
  • Model Evaluation
  • Performance Metrics
  • Classification
  • Data Extraction
  • Validation
  • Confidence Scores
  • Reference Datasets
  • Test Datasets
  • Production Monitoring
  • Model Improvement
  • Prompt Development
  • Confidence Thresholds
  • Validation Rules
  • Regression Testing
  • Drift Detection
  • Model Governance
  • AI Security
  • Python
  • SQL
  • Structured Data
  • Unstructured Data
  • Data Pipelines
  • Advanced Analytics
  • Agile
  • Automation
  • Banking

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