Lead Data Scientist

Job Summary

Job Description

What is the Opportunity?

The Next Best Action (NBA) Machine Learning team of Personal and Commercial Banking is looking for a passionate and innovative Senior Data Scientist.

As a Data Scientist you will problem solve, analyze, design, implement and monitor machine learning applications using state of the art tools and algorithms.

We are looking to maintain our position as the industry leader in deepening client relationships and engagement through the implementation of NBA Strategy.

To achieve these goals, we leverage diverse data sources and a suite of domain specific machine learning models that power our client communications.

What will you do?

Interact with RBC internal partners and lines of businesses to help them frame their use cases and define success metrics (Key Performance Indicators).

Prepare, parse and integrate large and varied structured and unstructured data for model training and scoring while preserving privacy and unbiased estimates.

Develop state of the art machine learning models end-to end, including feature engineering, model training, model inference, model production, model monitoring and model maintenance.

Contribute to the migration of existing and new models to a Cloud environment as well as expansion of Marketing Actions and Machine Learning Models of the NBA System

Validate the offline performance of models and work in a Continuous Integration manner.

Deploy solutions for end users and help drive change in a Continuous Deployment manner.

Monitor model performance and business success metrics over time.

Be responsible for researching new capabilities and technologies to drive innovation

What do you need to succeed?

Must-have

Masters in Computer Science, Computer Engineering or similar field.

3+ years of hands-on experience or similar post-grad work in applying Machine Learning to Customer Marketing.

Experience with machine learning development lifecycle and deep learning methods such as Transformers, GANs, DQN, VAE, SHAP, Counterfactuals and Adversarial examples etc.

Experience with Python and common machine learning / deep learning libraries Tensorflow, PyTorch, scikit-learn, huggingface etc.

Knowledge of big data ecosystem Hadoop / Spark.

Knowledge of public cloud (Azure, AWS, GCP, OpenShift) platforms and development of applications in cloud / hybrid environments

Familiarity with collaborative software development tools (git, issue tracking) and *nix environments

Strong interpersonal and communication skills (both written and verbal) across peers and senior leaders

Nice to have

Strong knowledge machine learning application design. Experience deploying models into productions with MLOps (MlFlow, KubeFlow etc).

Experience in running A / B experiments in production. Experience with relational databases. Domain specific knowledge of marketing campaigns.

Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management is preferred

Experience in developing attrition models with proven success.

Publications in machine learning and artificial intelligence.

Passion for ethical AI and experience in algorithm transparency and interpretability.

Knowledge of banking data.

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

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

TechPJ

Job Skills

Artificial Intelligence (AI), Automated Machine Learning (AutoML), Big Data Management, Commercial Acumen, Communication, Data Mining, Data Science for Banking, Decision Making, Deep Learning, Leadership, Machine Learning Algorithms, Machine Learning Model Management, Machine Learning Techniques, Marketing Campaigns, Natural Language Programming (NLP), Predictive Analytics, Problem Solving, PySpark, Python Frameworks, Software Development, Statistical Machine Learning, Structured Query Language (SQL), Supervised Learning

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 :

PERSONAL & COMMERCIAL BANKING

Job Type : Regular

Regular

Pay Type : Salaried

Salaried

Posted Date : 2024-09-18

2024-09-18

Application Deadline :

2024-10-15

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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