Senior Data Scientist - AI

RBC • Toronto, ON

10d • Onsite

About The Position

Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire a talented Data Scientist to join our data science and engineering team. The role will be responsible for applying modern AI and data techniques to deliver data science solutions for Wealth Management.

Requirements

• 3+ years of work experience in applied data science, in depth knowledge of statistical analysis, data structures, machine learning, deep learning, NLP and Generative AI
• Advanced proficiency in SQL and Python programming languages
• Experience in data manipulation and visualizations, able to handle unstructured data and big datasets
• Experience in building and maintaining machine learning models, model tunings, and model monitoring
• Ability to apply data science and statistical techniques to solve real world business problems
• Ability to communicate data science findings and recommendations to both technical and non-technical audiences
• Familiar with JIRA, Confluence, Agile/Scrum development methodology

Nice To Haves

• Master’s or PhD Degree in computer science, engineering or related technical field
• Experience in building data products for analytics is a plus
• Hands-on experience with Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production
• Familiar with AI Ops workflow and pipelines for productionizing models is a plus (CI/CD pipelines, observability, containers).

Responsibilities

• Owning and delivering data science projects end to end: from data exploration, data pre-processing, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production models.
• Participate in the developing high-impact AI solutions for Wealth Management, from research and prototyping to production deployment, apply data science industry best practices to build robust and scalable large scale modeling systems.
• Assist Operations business managers to perform advanced data analysis, statistical reports, and support ad hoc data explorations for various business cases.
• Work together with other stakeholders in the business, collaborate with data engineers, application developers, and product managers to build and productionize enterprise level Data & AI solutions.

Benefits

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Opportunities to building close relationships with clients
• Access to a variety of job opportunities across business and geographies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed