Senior data scientist

National Bank; Montreal; Hybrid; CAD 110,000 - 140,000; Full time

Benefits offered by this job

Health benefits

Flexible work arrangements

Pension plan

Employee share ownership plan

Professional training programs

Telemedicine

Job summary

National Bank is seeking a Senior Data Scientist to join the Data Valorisation and Analytics team. You will design and deploy segmentation, propensity, attrition and personalization analytics to enhance portfolio growth, retention and client experiences.

You will work with business partners to turn data into concrete solutions, deploying models in production and monitoring performance while promoting governance and responsible AI practices.

Qualifications

• 3–5 years of data science experience with production analytics.
• Proficiency in Python and SQL for building and deploying models.
• Experience with client segmentation and personalization techniques.

Responsibilities

• Design and deploy segmentation, propensity, attrition and personalisation analytics models to support portfolio acquisition, retention and development.
• Recommend solutions to optimise client interactions and sales team efficiency.
• Collaborate with business partners to transform data into concrete solutions.
• Industrialize, monitor and optimise models in production.
• Promote best practices in data science, governance and risk management.

Skills

Python

SQL

Machine learning

Segmentation

Propensity modelling

Client analytics

Model deployment

Evaluation & governance

Education

Bachelor's degree in data science or related field

Tools

GIT

AWS

Snowflake

Job description

A career as a Senior Data scientist in the Data Valorisation and Analytics team at National Bank means serving as a Data Science Specialist. This position allows you to have a concrete impact on growth, retention and the client experience thanks to your expertise in data science and advanced analytics. You will help you better understand client needs, personalise interactions, increase the value of the portfolio and support business teams with concrete, measurable solutions.

Your job

• Design and deploy segmentation, propensity, attrition and personalisation analytics models to support portfolio acquisition, retention and development for the Insurance, Marketing and Distribution sectors.
• Recommend solutions to optimise interactions with clients and the efficiency of sales teams.
• Work with business partners to identify opportunities, understand issues and transform data into concrete solutions.
• Industrialize, monitor and optimise models in production to ensure their performance, reliability and evolution.
• Promote best practises in data science, governance and risk management.

Your team

The Vice-President - Insurance brings together specialists who work in an agile, proactive and collaborative manner to support strategic decisions and accelerate the organisation's digital transformation.

Within the Data Valoration and Analytics sector of the Insurance sector, you are part of a multidisciplinary team of specialists in analytics, business intelligence, data engineering and data architecture. You will report to the Senior Manager - Data Valuation and Analytics.

Our team stands out for its ability to quickly transform business opportunities into concrete, measurable solutions, in an environment where innovation, collaboration and continuous improvement are central.

Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.

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

• Relevant training in a field related to data science, mathematics, statistics, actuarial science or computer science and at least 3 to 5 years of experience in data science.
• Significant experience in developing, deploying and optimising analytical models in a production environment.
• Proficiency in supervised and unsupervised machine learning techniques as well as Python and SQL.
• Expertise in client segmentation, propensity modelling, attrition detection, recommendation or personalisation of the client experience.
• Experience with modern data platforms such as GIT, AWS, snowflake or equivalent technologies.
• Knowledge of governance, ethics and explainability practises for analytical models.
• Interested in agentic AI topics and a desire to develop on their topics.

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!