Lead Data Scientist - Halifax

RBC; Halifax; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading financial institution is looking for a skilled Data Scientist to design and implement machine learning solutions. The role involves collaboration with business partners, preparing and analyzing datasets, and deploying AI solutions. Candidates should have a relevant degree, 3+ years of experience in data-driven solutions, and proficiency in Python. This position offers competitive compensation and a supportive work environment focused on professional growth.

Benefits

Comprehensive Total Rewards Program

World-class training program

Flexible work/life balance options

Qualifications

• 3+ years of experience delivering data-driven solutions using machine learning and AI.
• Proficient in Python programming and core data science libraries.
• Experience with cloud platforms and communicating technical concepts.

Responsibilities

• Collaborate with business partners to provide solutions that align to business needs.
• Prepare and analyze large datasets and develop quality checks.
• Develop and deploy Gen AI / ML solutions at scale.

Skills

Big Data Management

Data Science

Machine Learning (ML)

Python (Programming Language)

Education

Bachelors or Master’s degree in Computer Science

Tools

AWS

Azure

GCP

Job description

Job Description

What is the Opportunity?

In this role, you will design and implement data science / machine learning solutions using RBC’s enterprise suite of AI and analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies Generative AI, machine learning, and statistical modelling techniques to help RBC improve data controls, understand the changing business environment, discover new growth opportunities, and determine where improvements can be made.

What will you do?

• Collaborate with key business partners and stakeholders to understand business objectives/opportunities and provide solutions that align to business needs.
• Prepare and analyze large and varied datasets (structured and unstructured) and develop data quality checks and controls.
• Develop and deploy Gen AI / ML solutions at scale, identifying the best approach given the strengths, limitations, and risks of various models and techniques.
• Work side-by-side with Data Engineers to automate data pipelines and configure the model inputs / outputs to align with overall solution architecture.
• Validate, measure, and document model performance in accordance with business and stakeholder requirements.
• Leverage visualization tools/packages to story-tell and to convey data-driven insights with actionable recommendations to business partners, key stakeholders, and executives.
• Quickly learn new methods, tools and technologies presented in research communities to implement, adapt, and innovate.

What do you need to succeed?

Must Have:

• Bachelors or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
• 3+ years of experience delivering data-driven solutions using machine learning, AI, predictive analytics, and/or statistical modeling.
• Proficient in Python programming and core data science libraries, frameworks, and toolkits (pandas, numpy, sklearn, Spark).
• Experience with cloud platforms (AWS, Azure, GCP).
• Able to communicate technical concepts to a non-technical audience.
• Excellent problem solving, collaboration, and organizational skills.

Nice to Have:

• Ph.D. or research experience in a quantitative field.
• Experience with generative AI, deep learning frameworks (PyTorch, TensorFlow), vector databases, and/or graph data.
• Familiar with command line tools.
• Prior experience with financial institutions.

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.

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
• Flexible work/life balance options
• Opportunities to do challenging work

#LI-POST

Job Skills

Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

Address: 175 WESTERN PKY:BEDFORD

City: Bedford

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: CHIEF LEGAL & ADMIN OFFICE GRP

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-12-19

Application Deadline: 2026-02-20

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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.