Senior Data Scientist Lead

1 week ago

Toronto, Ontario, Canada Royal Bank of Canada Full time

Company Overview


Royal Bank of Canada is a leading financial institution that values innovation and collaboration. Our team thrives on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper.



Job Description


We are seeking a highly skilled Senior Data Scientist Lead to join our dynamic team in Toronto, Canada. As a key member of our organization, you will be responsible for driving business value and scale by leveraging machine learning, data science, and emerging technologies like Generative AI.



Key Responsibilities:



  • Work with large amounts of text data – extracting data from documents and various other sources, cleaning, processing, and analyzing text data, data preparation for model development and inference
  • Run experiments on Sagemaker, deploy endpoints, perform model inference and training, if required, validate results, and generate reports for specific business use cases
  • Work with open-source large language models, prompting methods, and fine-tuning models for our specific business use cases and work with libraries like huggingface, etc
  • Collaborate with other data scientists, data engineers, and business stakeholders to deliver high-impact projects that will bring efficiency to business processes


Requirements:



  • Prior programming experience (5 years) in Python is a must – ability to write production-level code and documentation
  • Experience working with large datasets – exploring and understanding data, cleaning, and pre-processing, performing exploratory data analysis, particularly having prior experience working with large text data is preferred
  • Knowledge of deep learning like transformer-based models and standard machine learning libraries like numpy, pandas, scikit-learn, PyTorch data visualization tools, and machine learning algorithms like logistic regression, tree-based models, decision trees, random forests, deep learning algorithms
  • Must have experience in Natural Language Processing and Generative AI – text data preparation, vector embeddings, large language models, prompting techniques – few-shot, chain-of-thought, etc function calling, hugging face, etc
  • Excellent interpersonal and communication skills (verbal and written), ability to work in a team environment and collaborate effectively with team members, stakeholders, take constructive feedback, and iterate


Benefits



  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation ($143,000 - $173,000 per year), 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
  • Flexible work/life balance options
  • Opportunities to do challenging work, to take on progressively greater accountabilities, and to build close relationships with clients

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