Who We Are Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design
Sr Data Engineer - GE07BE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals
About Aegis Ventures Aegis Ventures partners with entrepreneurs and industry leaders to launch and scale transformative companies in digital health and artificial intelligence. Our platform brings together market-shaping ideas, growth capital, and ambitious individuals to solve
About Aegis Ventures Aegis Ventures partners with entrepreneurs and industry leaders to launch and scale transformative companies in digital health and artificial intelligence. Our platform brings together market-shaping ideas, growth capital, and ambitious individuals to solve
If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwide’s
Senior Staff Software Engineer - IE07HE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your
Description The Enterprise Monitoring & Event Management Engineer is responsible for the design, administration, integration, automation, and support of AEPs enterprise monitoring and event management platforms. This role serves as a technical subject matter expert for
As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side” goes
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side