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Added 6 mins ago
SL
Consultant, Risk Reporting & Insights
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Experience developing data models, dashboards and visualizations in business intelligence tools.
Added 6 mins ago
C
Senior Director, Communications
Cogeco
Burlington, ON · Montreal, QC
- Full-time
Reporting to the Chief Human Resources Officer as a core partner in driving business transformation and organizational alignment, you will direct enterprise-wide communications across North…
Added 21 mins ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva
Markham, ON
…platforms to build robust data pipelines and systems that power analytics and AI initiatives. In this role, you will contribute to the design and implementation of data solutions that…
Added 21 mins ago
IG
SAS Data Scientist
Insight Global
Toronto, ON
- Contract
…initiative focused on modernizing and migrating existing SAS-based analytics processes into Python. This individual will serve as a Python subject matter expert, helping guide technical…
Added 21 mins ago
TH
ASSOCIATE MERCHANT
The Home Depot Canada
Toronto, ON
- Full-time
…your total rewards may include: semi-annual bonuses tied to business performance; Deferred Profit-Sharing Program to assist with retirement savings; comprehensive paid benefits; a 15%…
Added 36 mins ago
OG
Senior Creative Director
Onni Group of Companies
Vancouver, BC
- Full-time
At Onni, you’ll learn from experienced professionals across every part of our business, take on real responsibility early, and have clear room to grow - whether your path is in commercial…
Added 51 mins ago
Senior Director, Technology Risk Assessments
Scotiabank
Toronto, ON
…workflows and structured data, and progressive use of artificial intelligence (AI) and…
Added 51 mins ago
PowerBI Technical Lead
NTT DATA Services
Toronto, ON
Partner with Finance, data engineering, and platform teams to translate business requirements into robust reporting solutions.
Added 51 mins ago
C
Manager, Sales – Quebec City and Regions (Media Solution) (Telework/Hybrid)
CBC/Radio-Canada
Quebec, QC
- Full-time
Oversee the design and activation of strategic sales tools that leverage market intelligence and advanced analytics (Power BI, ThinkTV).
Added 51 mins ago
AR
Director, Marketing
ARS Responds Canada
Toronto, ON · North York, ON
- $125,000 to $150,000 CAD / year
- Full-time
…website and social media, regional and local-market marketing, business development enablement, market intelligence, performance measurement and industry events. The Director will also lead…
Added 1 hour ago
SF
Acquisition Marketing Manager
SickKids Foundation
Toronto, ON
- Full-time
Post-secondary education in business, marketing, fundraising, or a related discipline preferred; candidates with relevant professional experience and demonstrated success in acquisition or…
Added 1 hour ago
P
Forensic & Dispute Services  Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC · Quebec, QC
- Full-time
…disputes. You will apply concepts of financial analysis and business valuation to quantify financial damages or to formulate conclusions on financial elements at the heart of…
Added 1 hour ago
LH
Business Analyst
LGI Healthcare Solutions Santé Inc.
Montreal, QC
- Full-time
They incorporate generative and agentic artificial intelligence into their daily practices to accelerate discovery, design, and validation activities while ensuring the quality and…
Added 1 hour ago
GD
AI Governance & Risk Manager
General Dynamics Missions System International
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
The Manager, AI Governance & Risk will help position responsible AI as a business enabler and competitive differentiator, fostering an environment where innovation can scale with confidence.
Added 1 hour ago
NA
Senior Director Finance
Nelson/Kraft and Associates
Calgary, AB
- $125,000 to $130,000 CAD / year
- Full-time
Advanced training or certification in ERP systems, data analytics, business intelligence, financial systems implementation, finance transformation, or project management.
Added 1 hour ago
MD
Medicaid Data Analyst - Management Analyst 4
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Saint-Paul, NB · St.-Paul, NB
- Full-time
Experience developing, maintaining, or supporting reports, data extracts, dashboards, or other business intelligence tools.
Added 1 hour ago
AI
Data & Analytics Leader - BFSI, AI Transformation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are seeking an experienced Data & Analytics Leader to help shape and grow enterprise transformation programs across the financial services sector. This role brings together data…
Added 1 hour ago
A
Information Technology - Senior/Lead, Data Visualization Engineer, Product Business Technology
Aritzia
Vancouver, BC
- Full-time
The mission of the Product Business Technology department is to design, build, deliver, and operate scalable technology, data, analytics, and AI solutions that align with the strategic…
Added 1 hour ago
T
Senior Applied Machine Learning Scientist
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 1 hour ago
W
Senior Analyst, Business Analysis and Insights
Walmart
Mississauga, ON
- Full-time
The Senior Analyst, Business Analysis and Insights will manage the interpretation, analytics reporting, and analysis for key insights and performance recommendations. The role may involve…
Added 1 hour ago
INVESTIGATIVE ANALYST (CONTRACT)
Green Shield Canada
Calgary, AB · Toronto, ON · Windsor, ON
Produce executive-level reporting and analytics that translate complex investigative findings, emerging risks, and fraud trends into actionable business insights and strategic…
Added 1 hour ago
C&
Senior Financial Analyst – Sales
Church & Dwight Co., Inc.
Mississauga, ON
- Full-time
Drive Business Performance. Influence Decisions. Grow Your Career.
Added 1 hour ago
LH
Business Analyst
LGI Healthcare Solutions
Montreal, QC
- Full-time
They incorporate generative and agentic artificial intelligence into their daily practices to accelerate discovery, design, and validation activities while ensuring the quality and…
Added 1 hour ago
C
Database developer Smartstream TLM SME Senior Engineer
Citi
Mississauga, ON
- Full-time
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the…
Added 1 hour ago
N
Customer Success Technical Coordinator - Bilingual (FR/EN)
Numeris
Canada
- Full-time
…and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters, advertisers, and agencies. We have been recognized for over 75 years as providing the gold…

NerdWallet

Senior Data Scientist (Applied ML) - Canada

Remote, Canada

Remote

$161,000 to $243,000 CAD / year · Full-time

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Applications open in a new tab.

Job details

Pay: $161,000 to $243,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Nov 4, 2026

Original job description

At NerdWallet, our mission is to provide clarity for all of life's financial decisions. Data Science plays a critical role in delivering on that mission, helping us better understand our consumers, personalize their experiences, and connect them with the financial products that best meet their needs.

We’re growing, and we’re looking for a Senior Data Scientist (Applied ML) to join us as a foundational member of our new team. You’ll help shape and advance our machine learning capabilities across consumer personalization, predictive modeling, and performance marketing, with a real voice in how we work from day one. Together, we’re building an inclusive, supportive team culture where we lift each other up and succeed together to drive business impact across the organization.

In this role, you will lead the development of production-grade machine learning solutions that power some of NerdWallet's most critical business decisions. From predicting customer lifetime value and scoring incoming leads in real time to developing recommendation engines that connect consumers with the right financial products, your work will have a direct impact on how we acquire, engage, and monetize our customer relationships.

This is a hands-on individual contributor role for someone with deep expertise in applied machine learning, production ML systems, and the Databricks ecosystem. As a foundational member of the team, you’ll partner closely with Data Engineering, Product, Marketing, and Analytics to translate complex business problems into scalable ML solutions, while helping establish the technical standards and best practices for machine learning across NerdWallet.

Where you can make an impact:

Build Predictive Models That Drive Business Growth

Lead the end-to-end development of advanced machine learning models focused on customer lifetime value (LTV), conversion propensity, lead quality, and revenue optimization.
Translate model predictions into actionable signals that improve marketing investment decisions, customer acquisition efficiency, and long-term profitability.

Advance Personalization & Recommendation Systems

Develop recommendation and ranking models that identify the most relevant financial products for individual consumers based on their needs, behaviors, and predicted propensity to engage or convert.
Explore and implement approaches such as propensity modeling, learning-to-rank, and next-best-product recommendations to improve customer engagement and cross-sell opportunities.
Collaborate with Product and Marketing to integrate predictive intelligence into consumer experiences and personalized communications.

Establish Best-in-Class ML Practices

Leverage Databricks and MLflow to develop, train, deploy, monitor, and manage machine learning models at scale.
Establish robust DS practices, including experiment tracking, model versioning, feature engineering, automated training pipelines, model monitoring, and reproducibility.
Define standards for model performance, reliability, retraining, and production readiness, including monitoring for data drift and model degradation.
Design and evaluate experiments to measure the incremental business impact of deployed models and continuously improve their effectiveness.
Serve as a technical leader within Data Science, mentoring other practitioners, influencing architectural decisions, and elevating engineering and modeling standards across the organization.

Your experience:

5+ years of professional experience in Data Science, Applied Machine Learning, or a related field, with a demonstrated track record of developing and deploying ML solutions that drive measurable business impact.
Deep, hands-on experience with Databricks, including building and managing production machine learning workflows using MLflow and the Databricks ML ecosystem. Please note: this role requires hands-on Databricks experience specifically, and experience with similar platforms is not a substitute.
Advanced proficiency in Python and SQL, with extensive experience using modern machine learning frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.
Strong understanding of supervised learning, predictive modeling, classification, regression, ranking, and model evaluation techniques.
Practical experience designing scalable batch and/or real-time inference systems, with an understanding of latency, reliability, and performance trade-offs.
Strong software engineering fundamentals, including version control, testing, modular code design, and CI/CD practices for machine learning.
Demonstrated ability to independently lead complex, ambiguous technical initiatives from problem definition through deployment and business impact measurement.
Strong business acumen and the ability to connect technical solutions to measurable outcomes such as revenue growth, conversion improvement, customer lifetime value, and marketing efficiency.
Excellent communication and collaboration skills, with experience influencing technical direction and working effectively with senior stakeholders and cross-functional teams.
Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline, or equivalent practical experience.

Where:

This is a remote position and a person can be located anywhere in Canada (with the exception of Quebec).
NerdWallet is proud to be a remote-first company! We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family.

What we offer:

Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?)

Monthly Healthcare Stipend
Rejuvenation Policy – Vacation Time Off + You will receive the official public holidays in your province
Paid sabbatical for Nerds to recharge, gain knowledge and pursue their interests
Monthly Wellness Stipend, Wifi Stipend, and Cell Phone Stipend
Work from home equipment stipend

Have Some Fun! (Nerds are fun, too)

Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities
Hackathons and team events across all teams and departments
Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction

Plan for your future (And when you retire on your island, remember the little people)

RRSP with a 4% match. Eligible one month after hire.
Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar

NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment.

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More about this job

Responsibilities

Lead the development and deployment of production-grade machine learning models for customer lifetime value, conversion propensity, lead quality, revenue optimization, and personalized product recommendations. Establish scalable ML practices using Databricks and MLflow, measure business impact through experiments, and provide technical leadership across Data Science and partner teams.

Requirements

Requires at least five years of relevant professional experience, hands-on production ML experience with Databricks and MLflow, and advanced Python and SQL skills. Candidates should have strong modeling and software engineering fundamentals, experience with scalable inference systems, and the ability to lead ambiguous initiatives and connect technical work to business outcomes; a relevant bachelor's or advanced degree, or equivalent practical experience, is required.

Skills

Applied Machine Learning
Databricks
MLflow
Python
SQL
Predictive Modeling
Supervised Learning
Classification
Regression
Learning-To-Rank
Recommendation Systems
Feature Engineering
Model Evaluation
Real-Time Inference
CI/CD
Experiment Design

Benefits

Monthly Healthcare Stipend
Vacation Time Off
Provincial Public Holidays
Paid Sabbatical
Monthly Wellness Stipend
Wi-Fi Stipend
Cell Phone Stipend
Work-From-Home Equipment Stipend
Employee Resource Groups
Hackathons And Team Events
Company-Wide Events
RRSP With 4% Match
Financial Wellness Guidance
Unlimited Access To A Certified Financial Planner

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Databricks
MLflow
Python
SQL
Scikit-Learn
XGBoost
LightGBM
PyTorch
TensorFlow
Applied Machine Learning
Predictive Modeling
Customer Lifetime Value
Conversion Propensity
Lead Scoring
Recommendation Systems
Learning-To-Rank
Feature Engineering
Automated Training Pipelines
Model Monitoring
Data Drift
Model Versioning
Experiment Tracking
Batch Inference
Real-Time Inference
CI/CD
Supervised Learning
Classification
Regression
Marketing Optimization

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