Lead Data Scientist

Job Description What is the opportunity?We are seeking an experienced Lead Data Scientist to join Wealth Management Technology(WMT) Data Service team. As a Lead Data Scientist, you will be responsible for leading the development and implementation of data science and machine learning solutions to drive business growth and improvement. You will work closely with cross-functional teams to identify business opportunities, design and implement data-driven solutions, and measure the impact of these solutions.What will you do?Provide technical leadership for WM Data applications.Partner with architect to create technology roadmapLead the development and implementation of data science and machine learning solutions to drive business growth and improvementCollaborate with business stakeholders to identify opportunities for data-driven solutions and design experiments to test hypothesesDevelop and maintain predictive models and algorithms to drive business outcomesCollaborate with data engineers to design and implement data pipelines to support data science and machine learning solutionsStay up-to-date with emerging trends and technologies in data science and machine learningWhat do you need to succeed?Must Have3+ years of experience in data science, machine learning, or a related fieldStrong expertise in machine learning, deep learning, and data engineeringExperience with data science tools and technologies, such as Python, R, SQL, and NoSQL databasesExcellent business communication skills – able to explain complex technical concepts to non-technical stakeholders and vice versaExperience with cloud-based data platforms, such as AWS or AzureNice-to-have:Knowledge of IT Standards, Methodologies, CMM & audit requirementsAgile experiencePrior experience with Financial institutions and the Banking SectorWhat's in it for you?A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicableLeaders who support your development and production day-to-day support through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamOpportunities to do challenging work Opportunities to take on progressively greater accountabilities#LI-POST#TECHPJJob SkillsActuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)Additional Job DetailsAddress:RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:TorontoCountry:CanadaWork hours/week:37.5Employment Type:Full timePlatform:TECHNOLOGY AND OPERATIONSJob Type:RegularPay Type:SalariedPosted Date:2025-10-17Application Deadline:2025-11-30Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.