Job Summary
Job Description
What is the opportunity?
Join the RBC Borealis team, where innovation and data science converge to shape the future of banking! We collaborate with multiple lines of businesses and help them in driving business value and scale by leveraging machine learning, data science and emerging technologies like Generative AI.
We are working on some very exciting, cutting-edge problems in Generative AI that will bring in efficiencies in banking processes and create tremendous business impact.
We are seeking a Staff Data Scientist who thrives on thinking outside the box, delves deep into details, and is passionate about exploring innovative approaches in the field of Generative AI and Machine Learning.
If you’re ready to contribute to our work and be part of a team that values continuous learning, we want you on board!
What will you do?
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 finetuning models for our specific business use cases and work with libraries like huggingface, etc
This role involves continuous learning - reading top tier, cutting edge research papers in the field of Generative AI and distilling the knowledge to identify potential applications
Collaborate with other data scientists, data engineers, and business stakeholders to deliver high impact projects that will bring efficiency to business processes
What do you need to succeed?
Must Have
Prior Programming experience ( 5years) 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
Creative, curious and analytical thinker who is self-driven and capable of working in a fast-paced environment, able to deal with ambiguity and offer novel solutions
Nice to Have
Have a continuous learning mindset - reading top tier, cutting edge research papers in the field of Generative AI and distilling the knowledge to identify potential applications
Experience working with cloud platforms like AWS sagemaker
Understanding of vector data basses like chromaDB, pgVector, etc
Understanding of knowledge graphs and graph databases like Neo4j
What’s in it for you?
We thrive 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.
We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
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
Flexible work / life balance options
Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients.
Access to a variety of job opportunities across business and geographies.
LI-Hybrid
LI-Post
LI-PK
Job Skills
Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis
Additional Job Details
Address :
RBC WATERPARK PLACE, 88 QUEENS QUAY W : TORONTO
City : TORONTO
TORONTO
Country : Canada
Canada
Work hours / week : 37.5
37.5
Employment Type : Full time
Full time
Platform :
TECHNOLOGY AND OPERATIONS
Job Type : Regular
Regular
Pay Type : Salaried
Salaried
Posted Date : 2024-10-15
2024-10-15
Application Deadline :
2024-11-01
I nclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work.
We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
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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 .
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