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 rapid-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
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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📌 Manager, Delivery Data Science (Ontario)
🏢 Curinos
📍 Ontario