Senior Data Scientist

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.