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Added 3 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 3 months ago
B
Data Engineer
BrainStation
Toronto, Ontario
- $90,000 to $125,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 3 months ago
AA
Staff Software Developer, Capital
ACV Auctions
Toronto, Ontario
- Full-time
We are seeking a talented and enthusiastic Staff Software Developer to join our growing team. In this role, you will design, develop, and maintain software applications that solve…
Added 3 months ago
FH
Senior Software Engineer - Fullstack
Function Health
Canada
- Full-time
Experience with Python, GCP & FastAPI a plus for future initiatives.
Added 3 months ago
PI
Data Platform Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Full-time
Hands-on experience with SQL and analytical databases for writing optimized queries, aggregations, and data transformations.
Added 3 months ago
PI
Backend Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Full-time
Strong experience with Python backend development.
Added 3 months ago
PI
Data Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Full-time
Hands-on ETL/ELT development experience with dbt, SQL, and ingestion tools such as Fivetran, Matillion, Airbyte, StreamSets, or Kafka connectors.
Added 3 months ago
R
Python Automation Developer, Network Security
RAVL
Toronto, Ontario
- Full-time
We're looking for a Senior Full Stack Developer to join our team on a short-term contract engagement. In this role, you'll build automation solutions that improve operational efficiency,…
Added 3 months ago
KC
Manager, GRC
KPMG Canada
Toronto, Ontario
- Full-time
Technical skills Java, JavaScript; REST/SOAP, JSON/XML; Python/PowerShell; SQL.
Added 2 months ago
MS
Full Stack – Java Application Developer (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Experience with RDBMS and SQL is a nice-to-have.
Added 2 months ago
CF
Director, Business Analytics and Insights
CI Financial
Toronto, ON
- Full-time
Proficiency in data visualization tools (e.g., Tableau, Power BI), statistical software (e.g., Python), and CRM platforms (e.g., Salesforce); with a strong working knowledge and…
Added 2 months ago
F
Data Engineer
Financeit
Remote, Canada
- Full-time
- Remote
Strong hands-on SQL and ideally dbt experience - you are comfortable building and refactoring layered data models, writing macros, and working with incremental materializations
Added 2 months ago
C/
BA and QA Tester (12 month contract)
CIRO / OCRI
Toronto, ON
- Full-time
Experience with databases, data mapping, and query & reporting tools - SQL
Added 2 months ago
CI
Manager, Delivery Data Science
Curinos Inc
Toronto, ON
- Full-time
…business strategy and technical execution - partnering closely with Data Science, Product, and Client Success teams to develop optimization strategies, support model governance, and drive…
Added 2 months ago
Senior Full-Stack Developer (Python/React) - Onboarding Team
AlayaCare
Montreal, QC
Extensive development experience with Python and unit testing using PyTest.
Added 2 months ago
S
Senior DevOps Engineer
SimCorp
Toronto, ON
- Full-time
Extensive Windows and Linux server administration skills, along with Oracle administration, PL/SQL, XML, and virtualization (VMware, Citrix)
Added 2 months ago
FC
Quality Assurance Analyst, Investly
Fidelity Canada
Toronto, ON
- Full-time
Hands-on experience with constructing SQL queries and testing APIs
Added 2 months ago
CG
Manager, Advanced Analytics & BI
Canada Goose
Toronto, ON
- Full-time
Strong experience with SQL, ETL development (SSIS, Azure Data Factory, or similar), and data warehousing methodologies such as Star Schema and Kimball
Added 2 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Factor us into your next career opportunity. We want you to grow with us and have an experience that’s different. This is a place where you can expect the unexpected.
Added 3 months ago
CR
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, Ontario
- Internship
Leverage your programming, model building, and database administration skills (including using Python, T-SQL, VBA, Excel, C#, and/or other programming languages and tools);
Added 3 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Added 1 month ago
Data Analyst
Scotiabank
Toronto, ON
Working closely with business stakeholders, operations teams, finance partners, and technology teams, the position plays a key role in maintaining data integrity, supporting system…
Added 2 months ago
GS
Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
Perform scripting and development using Python and SQL, minimizing unnecessary customization
Added 2 months ago
Senior PostgreSQL Database Engineer (Hybrid)
OpenTable
Toronto, ON
Proficiency in SQL and at least one programming or automation language such as Python, Go, or Bash.
Added 4 months ago
JA
Business Data Analyst (Capital Markets)
Jay Analytix
Toronto, ON
- Contract
The primary purpose of this position is to collaborate with Capital Markets (CM) business stakeholders, Quantitative & Technology Services (QTS) IT teams and Enterprise teams to facilitate…

Curinos Inc

Manager, Delivery Data Science

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: Have 5+ years of experience in Data Science, Marketing Analytics, Machine Learning, Decision Sciences, or a related field
Posting language: English
Posted: Aug 5, 2026

Original job description

Company Information

Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth.

Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to remote candidates based in the Toronto area and able to travel as needed.

About the Role

We’re building the next generation of marketing personalization leveraging AI, machine learning, experimentation, and adaptive decisioning to ensure the right content reaches the right customer at the right moment. This role sits at the intersection of Delivery Data Science and Product Data Science, helping translate advanced modeling capabilities into measurable client outcomes.

We are seeking a Manager, Delivery Data Science to lead the development, validation, and application of machine learning solutions powering client programs on Curinos’s proprietary marketing optimization platform. This individual will serve as a bridge between business strategy and technical execution - partnering closely with Data Science, Product, and Client Success teams to develop optimization strategies, support model governance, and drive analytical insights that improve performance.

This role combines hands-on model development, experimentation strategy, and analytics leadership. You will be responsible for ensuring models are designed, validated, monitored, and communicated effectively while helping shape how personalization evolves across our client portfolio.

What You'll Do

Build and Operationalize Predictive Models

Partner closely with the Data Science team to train, test, and deploy ML and AI models, within the model risk standards required by the banking industry, including model bias, disparate impact, AI guardrails, privacy controls, and ongoing monitoring
Translate business objectives into modeling frameworks, features, and optimization opportunities
Own end-to-end model development and validation including sample adequacy, out-of-time testing, and reproducibility checks before sign-off
Extend, and deploy our Reinforcement Learning-based marketing optimization capabilities while following our quality standards for model deployment and monitoring
Evaluate model performance and identify opportunities for ongoing improvement
Own model monitoring, stability tracking, and performance reporting
Help operationalize new modeling approaches within live client programs

Design Measurement and Experimentation Frameworks

Support the development of experimentation strategies that maximize learning and business impact
Ensure test design, audience allocation, and outcome measurement align with modeling objectives
Partner with stakeholders to define success metrics and measurement approaches
Interpret experimental results and translate findings into actionable recommendations
Identify opportunities to accelerate learning and improve future model performance

Deliver Advanced Analytics and Strategic Insights

Analyze customer behavior, campaign performance, and engagement signals generated by the platform
Develop analytical frameworks that uncover opportunities for growth, optimization, and improved customer experience
Deliver executive-ready insights and recommendations to both internal and external stakeholders
Translate complex analytical findings into clear business narratives
Help articulate the business value of personalization and data-driven decisioning

Support Team Development and Cross-Functional Collaboration

Provide technical mentorship and analytical guidance to analysts and senior analysts across the Delivery Data Science team
Establish best practices for analytics, experimentation, model evaluation, and reporting
Collaborate effectively with Product, Data Science, Client Success and Engineering teams
Act as a subject matter expert on personalization analytics and model-driven decisioning

Desired Skills & Expertise

We are looking for candidates who:

Have 5+ years of experience in Data Science, Marketing Analytics, Machine Learning, Decision Sciences, or a related field
Have experience building, validating, and deploying predictive models in production or client-facing environments
Possess strong statistical foundations, including experimentation, hypothesis testing, sampling methodologies, predictive modeling, and causal analysis
Demonstrate experience supporting model governance, validation, documentation, or Model Risk Management processes
Can effectively translate business problems into analytical and modeling solutions
Are comfortable balancing technical depth with stakeholder communication and business impact
Thrive in fast-paced environments with multiple priorities and evolving requirements
Have strong presentation and storytelling skills and can communicate effectively with both technical and executive audiences
Enjoy partnering across business, product, and technical teams to drive measurable outcomes

Technical Skills

Python, SQL, and data manipulation at scale
Machine learning and statistical modeling techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferred
Experimental design and measurement methodologies
Model performance evaluation and monitoring
Databricks (highly preferred), AWS, or similar cloud-based analytics environments
Git, version control, and collaborative development workflows
Advanced PowerPoint and data storytelling capabilities

What Success Looks Like

Models are successfully deployed and scaled across client programs
MRM reviews and validation requests are completed efficiently and with high quality
Experimentation programs generate meaningful learning and measurable business outcomes
Stakeholders trust and act on analytical recommendations
Delivery teams are equipped with better tools, frameworks, and modeling capabilities to drive client performance

Why work at Curinos?

Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
Learning and development tools to assist with your career development
Work with industry leading Subject Matter Experts and specialist products
Regular social events and networking opportunities
Collaborative, supportive culture, including an active DE&I program
Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services

Applying:

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help.

Inclusivity at Curinos:

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

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More about this job

Responsibilities

The Manager, Delivery Data Science will lead the development, validation, and application of machine learning solutions to power client marketing programs. They will act as a bridge between business strategy and technical execution, collaborating with cross-functional teams to drive analytical insights and model performance.

Requirements

Candidates must have 5+ years of experience in Data Science, Marketing Analytics, or Machine Learning with strong statistical foundations. Proficiency in Python, SQL, and experience with model governance and production-level deployment is required.

Skills

Data Science
Machine Learning
Marketing Analytics
Python
SQL
Reinforcement Learning
Experimental Design
Predictive Modeling
Model Governance
Data Storytelling
Statistical Modeling
Databricks
AWS
Git
Causal Analysis
Hypothesis Testing

Benefits

Financial benefits
Health benefits
Lifestyle benefits
Flexible working options
Annual leave
Floating holidays
Volunteering days
Birthday day off
Learning and development tools
Employee Assistance Program

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Marketing Personalization
Artificial Intelligence
Python
SQL
Reinforcement Learning
Multi-armed Bandit
Experimental Design
Predictive Modeling
Model Governance
Databricks
AWS
Git
Marketing Analytics
Decision Sciences
Causal Analysis
Hypothesis Testing
Model Risk Management
Data Storytelling
Financial Services
Optimization
Cloud Computing
Version Control
Business Strategy
Client Success
Analytical Frameworks
Performance Reporting
Model Validation
AI Guardrails

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