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Added 3 months ago
CF
Director, Business Analytics and Insights
CI Financial
Toronto, ON
- Full-time
D&A and AI Transformation: Drive the adoption of analytics, automation, and AI-enabled tools that enhance data accessibility, visualization, reporting, and decision support. Work closely…
Added 3 months ago
F
Data Engineer
Financeit
Remote, Canada
- Full-time
- Remote
…stakeholders across a wide range of functions to implement and solve data engineering challenges? Are you equally skilled at delivering simple solutions to complex problems and consistently…
Added 2 months ago
R&D Carbon Product Development Scientist
RAINCARBON
Hamilton, ON
…focusing on the carbon precursor selection, carbon structure engineering, and graphitization to deliver high-performance, scalable, and sustainable carbon-based Battery Anode Materials BAM…
Added 3 months ago
CI
Manager, Delivery Data Science
Curinos Inc
Toronto, ON
- Full-time
Collaborate effectively with Product, Data Science, Client Success and Engineering teams
Added 2 months ago
Senior Full-Stack Developer (Python/React) - Onboarding Team
AlayaCare
Montreal, QC
We are seeking a Senior Developer to join one of our product team. Reporting to the Associate Director of Engineering, the team is dedicated to product development and the ongoing…
Added 3 months ago
S
Senior DevOps Engineer
SimCorp
Toronto, ON
- Full-time
Administer and support SimCorp Data Management and Cloud SaaS environments for internal and external clients.
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
…cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these…
Added 3 months ago
FC
Quality Assurance Analyst, Investly
Fidelity Canada
Toronto, ON
- Full-time
Working experience in JS, Java, Python or other modern programming language
Added 2 months ago
Q
DSP Systems Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
Engineering Group, Engineering Group > Systems Engineering
Added 3 months ago
A
Lab Operations - Member of Technical Staff
Aptiv
Ottawa, ON
- Full-time
…recent 5G milestones including the world’s first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with…
Added 3 months ago
CG
Manager, Advanced Analytics & BI
Canada Goose
Toronto, ON
- Full-time
Partner with the Data/Data Engineering team to co-develop scalable BI pipelines and dashboard solutions, ensuring alignment between data architecture and reporting needs
Added 3 months ago
C
Software Developer (hybrid Montreal)
Calliere
Montreal, QC · Old Montreal, Quebec
- Full-time
…sophisticated technology with exceptional people to build and operate data-intensive financial platforms. We prize autonomy and the ability to move quickly when an opportunity appears, and…
Added 2 months ago
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
…generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. In this role, you'll architect scalable solutions that connect the systems…
Added 3 months ago
Senior Principal Site Reliability Engineer
Questrade Financial Group
Toronto, ON
This individual drives reliability engineering practices - SLOs/SLIs, observability, incident response, and capacity planning - while also making hands-on, code contributions directly into…
Added 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
Partner with Data, security, risk, legal, and engineering teams to embed AI-driven resiliency, observability, bias detection, and threat modeling into architecture and governance standards
Added 3 months ago
S
Business Systems Developer
Stingray
Montreal, Quebec
- Full-time
We are currently looking for a Business Systems Developer to join our digital transformation team. This position reports to the Head of Digital Transformation .
Added 3 months ago
CR
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, Ontario
- Internship
If your background is in Cybersecurity, Computer Science and Engineering, Digital Forensics, Management Information Systems, or Security Information Systems, learn more about CRA!
Added 4 months ago
T
Senior Software Engineer
Treewalk
Canada
- Full-time
Define and enforce security, data handling, and access control standards as tools expand to client environments
Added 3 months ago
FS
DSP Designer
Fidus Systems
Kitchener, Ontario
- Full-time
Develop and simulate DSP algorithms (equalization, filtering, estimation, detection) in MATLAB/Simulink and/or Python, from concept through fixed-point validation
Added 3 months ago
FS
DSP Designer
Fidus Systems
Ottawa, Ontario
- Full-time
Develop and simulate DSP algorithms (equalization, filtering, estimation, detection) in MATLAB/Simulink and/or Python, from concept through fixed-point validation
Added 3 months ago
BC
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO Canada
Toronto, Ontario
- Full-time
Added 3 months ago
TR
Manager, Software Development Engineering
Thomson Reuters
Toronto, Ontario
- Full-time
The Manager owns the full engineering lifecycle for Content Tools: design, implementation, testing, deployment, and ongoing operations. Equally important, this leader will navigate a…
Added 3 months ago
H
Hardware Verification Specialist
Hexagon
Calgary, AB
- Full-time
…sensor, software, and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality, and safety across industrial, manufacturing, infrastructure, public…
Added 2 months ago
Software Developer - DevOps
DRW
Montreal, QC
We are looking for a passionate Software Developer to join our infrastructure team. This software-focused role involves building the services, platforms and automation that support our…
Added 3 months ago
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.

Curinos Inc

Manager, Delivery Data Science

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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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