Staff Data Scientist

RBC; Vancouver; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

RBC is seeking a highly skilled Staff Data Scientist for their Generative AI team. This role involves designing AI-driven solutions that improve operational efficiency and customer experiences. Candidates should have proven expertise in AI technologies, including Elasticsearch and Snowflake, along with strong Python programming skills. Join a collaborative environment focused on innovation and the latest advancements in AI.

Benefits

Access to world-class tools and resources

Collaborative work environment

Competitive compensation package

Qualifications

• Proven experience with Elasticsearch, PostgreSQL, and Snowflake.
• Hands-on experience in Generative AI projects.
• Strong programming skills in Python and familiarity with AI/ML libraries.

Responsibilities

• Design, develop, and deploy AI/ML models focusing on Generative AI.
• Collaborate with cross-functional teams to identify AI opportunities.
• Build and maintain data pipelines using DevOps practices.

Skills

Artificial Intelligence (AI)

Data Science

Machine Learning

Python

Statistical Analysis

Tools

Elasticsearch

PostgreSQL

Snowflake

TensorFlow

PyTorch

Job description

Job Summary

Job Description

What is the opportunity?

Are you passionate about cutting-edge AI technologies and their transformative potential? RBC is seeking a highly skilled and innovativeStaff Data Scientistto join our Generative AI (GenAI) team within DevOps. This is an exciting opportunity to work at the forefront of AI, leveraging state-of-the-art technologies like OpenAI, Cohere, Anthropic Claude, DevinAI, and GitHub Copilot to drive innovation in a financial institution setting. You will play a pivotal role in building and deploying AI-driven solutions that enhance operational efficiency, improve customer experiences, and enable data-driven decision-making.

If you thrive in a collaborative environment and are eager to work with the latest advancements in AI, this is the role for you.

What will you do?

• Design, develop, and deploy AI/ML models, with a focus on Generative AI, to solve complex business problems and optimize DevOps processes.

• Collaborate with cross-functional teams, including engineers, data scientists, and product managers, to identify opportunities for AI-driven solutions.

• Work extensively withElasticsearch,PostgreSQL,Snowflake, and other data platforms to extract, transform, and analyze large-scale datasets.

• Fine-tune and customize large language models (LLMs) to meet specific business needs, ensuring optimal performance and relevance.

• Build and maintain pipelines for data ingestion, preprocessing, and model training/deployment using modern DevOps practices.

• Conduct research and experimentation to evaluate the latest GenAI technologies and recommend their adoption where applicable.

• Develop and implement robust testing frameworks to ensure the reliability and scalability of AI models in production.

• Provide mentorship and technical guidance to junior team members, fostering a culture of continuous learning and innovation.

• Stay up-to-date with advancements in AI/ML and contribute to the team’s knowledge base by sharing insights and best practices.

What do you need to succeed?

Must-have:

• Proven experience working withElasticsearch,PostgreSQL(or similar relational databases), andSnowflakein a professional setting.

• Hands-on experience with Generative AI projects, including the use of tools like OpenAI, Cohere, Anthropic Claude, or similar.

• Strong programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.

• Solid understanding of machine learning concepts, including model training, evaluation, and deployment.

• Experience in building and deploying scalable data pipelines and AI models in production environments.

• Familiarity with DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes).

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Nice-to-have:

• Experience in fine-tuning large language models (LLMs) for specific use cases.

• Knowledge of cloud platforms such as AWS, Azure, or GCP, with experience in their AI/ML services.

• Familiarity with MLOps tools like MLflow, Kubeflow, or similar.

• Background in financial services or experience working in a regulated industry.

Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

What’s in it for you?

• The opportunity to work with cutting-edge Generative AI technologies and make a tangible impact in a leading financial institution.

• A collaborative and innovative work environment that encourages experimentation and learning.

• Access to world-class tools, resources, and training to support your professional growth.

• Competitive compensation and benefits package, including health, wellness, and retirement plans.

• The chance to be part of a forward-thinking team that values creativity, diversity, and inclusion.

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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:

410 GEORGIA ST W, FLOOR 3:VANCOUVER

City:

VANCOUVER

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-09

Application Deadline:

2025-06-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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.

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