Description
A career as a Senior Data Scientist in the Customer Data Valorization and Advanced Analytics team at National Bank means acting as a specialist to support the commercial sector. It is through your innovative side, your experience in migrating processes to cloud systems and your ability to question the existing and influence partners that you have a positive impact on the customer experience and the results of the organization.
Your job:
- Carry out various complex studies, research and analyses in order to provide useful information for decision-making, to promote appropriate solutions and to intervene in the optimization of work processes
- Be on the lookout for new developments in your sector of activity (companies) and review systems and work processes in order to improve them and ensure their profitability with a view to continuous improvement
- Establish and maintain effective communications with various internal and external stakeholders who may provide information relevant to the conduct of analyses
- Perform the exploration and extraction of complex data patterns responding to specific marketing initiatives mainly in the enterprise sector
- Execute and coordinate analytical and data mining exercises, including data transformation and data visualization steps
- Ensure the review and integration of recent technological and mathematical advances relevant to business needs
- Support product and marketing strategy teams in the development and elaboration of initiatives.
Your team:
Within the Customer Experience & Digital department, you will be part of a team of 12 colleagues and report to the Senior Director - Customer Data Valuation and Advanced Analytics (VDCAA). Our team stands out for its fairly high standards, not only in terms of delivery but also for the atmosphere that reigns there.
We favour a variety of forms of continuous learning to enrich your development, including learning in action, training content made available to you, and working in collaboration with colleagues of diverse expertise and profiles.
Prerequisite:
- Industry-related bachelor's degree and five years of relevant experience OR Industry-related master's degree and three years of relevant experience
- In-depth knowledge and skills of data science algorithms, including segmentation/clustering, regression, classification, time series techniques
- Expertise with SAS, Python, SQL, and Spark through the cloud platform (Snowflake, AWS) for predictive and descriptive analytical modeling
- Ability to communicate mathematical results to a non-expert audience.
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.
- 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
- Opportunities to get involved in community initiatives
- Telemedicine service
- Virtual sleep clinic
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.
We're putting people first
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 peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees.
We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team?
Come live your ambitions with us!
