Title : Data ScientistRole classification : Full-timeLocation : Halifax / Nova Scotia (Canada)Work model : Home-based currently and hybrid in futureCompensation : $93k - $105k CAD (depending on individual skillsets and level of experience)Reason for open role : Growth and team expansion within NAOur StoryImagine being part of a team that’s not just shaping the future but actively driving it. At Davies North America, we’re at the forefront of innovation and excellence, blending cutting-edge technology with top-tier professional services. As a vital part of the global Davies Group, we help businesses navigate risk, optimize operations, and spearhead transformation in the insurance and regulated sectors.What’s in Store We're on the lookout for a full time Data Scientist. As a Data Scientist you will be collating, mapping and modeling data for business focused use cases. In addition to creating applied science applications, typical duties and responsibilities for a Data Engineer position may include : Assembling large, complex sets of data that meet non-functional and functional business requirements using the medallion architecture.Collecting data through means such as analyzing business results or by setting up and managing new studies / models.Collating data for extraction, transformation and loading of data from various data sources using Microsoft technologies. (Azure data factory, Fabric, and PowerBI)Creating new, experimental frameworks to collect dataBuilding tools to automate data collectionSearching through large data sets for usable informationCreating reports and presentations for business usesCorrelating similar data to find actionable resultsBuilding analytical tools to utilize the modeled data, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.Working with stakeholders including the Executive, Product, Data and Design teams to support their data science needs while assisting with data-related technical issues.