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 RoleWe'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 DoBuild and Operationalize Predictive ModelsPartner 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 monitoringTranslate business objectives into modeling frameworks, features, and optimization opportunitiesOwn end-to-end model development and validation including sample adequacy, out-of-time testing, and reproducibility checks before sign-offExtend, and deploy our Reinforcement Learning-based marketing optimization capabilities while following our quality standards for model deployment and monitoringEvaluate model performance and identify opportunities for ongoing improvementOwn model monitoring, stability tracking,



and performance reportingHelp operationalize new modeling approaches within live client programsDesign Measurement and Experimentation FrameworksSupport the development of experimentation strategies that maximize learning and business impactEnsure test design, audience allocation, and outcome measurement align with modeling objectivesPartner with stakeholders to define success metrics and measurement approachesInterpret experimental results and translate findings into actionable recommendationsIdentify opportunities to accelerate learning and improve future model performanceDeliver Advanced Analytics and Strategic InsightsAnalyze customer behavior, campaign performance, and engagement signals generated by the platformDevelop analytical frameworks that uncover opportunities for growth, optimization, and improved customer experienceDeliver executive-ready insights and recommendations to both internal and external stakeholdersTranslate complex analytical findings into clear business narrativesHelp articulate the business value of personalization and data-driven decisioningSupport Team Development and Cross-Functional CollaborationProvide technical mentorship and analytical guidance to analysts and senior analysts across the Delivery Data Science teamEstablish best practices for analytics, experimentation, model evaluation, and reportingCollaborate effectively with Product, Data Science, Client Success and Engineering teamsAct as a subject matter expert on personalization analytics and model-driven decisioningDesired Skills & ExpertiseWe are looking for candidates who:Have 5+ years of experience in Data Science, Marketing Analytics, Machine Learning, Decision Sciences, or a related fieldHave experience building, validating, and deploying predictive models in production or client-facing environmentsPossess strong statistical foundations, including experimentation, hypothesis testing, sampling methodologies, predictive modeling, and causal analysisDemonstrate experience supporting model governance, validation, documentation,



or Model Risk Management processesCan effectively translate business problems into analytical and modeling solutionsAre comfortable balancing technical depth with stakeholder communication and business impactThrive in fast-paced environments with multiple priorities and evolving requirementsHave strong presentation and storytelling skills and can communicate effectively with both technical and executive audiencesEnjoy partnering across business, product, and technical teams to drive measurable outcomesTechnical SkillsPython, SQL, and data manipulation at scaleMachine learning and statistical modeling techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferredExperimental design and measurement methodologiesModel performance evaluation and monitoringDatabricks (highly preferred), AWS, or similar cloud-based analytics environmentsGit, version control, and collaborative development workflowsAdvanced PowerPoint and data storytelling capabilitiesWhat Success Looks LikeModels are successfully deployed and scaled across client programsMRM reviews and validation requests are completed efficiently and with high qualityExperimentation programs generate meaningful learning and measurable business outcomesStakeholders trust and act on analytical recommendationsDelivery teams are equipped with better tools, frameworks, and modeling capabilities to drive client performanceWhy work at Curinos?Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose fromFlexible 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 developmentWork with industry leading Subject Matter Experts and specialist productsRegular social events and networking opportunitiesCollaborative, supportive culture, including an active DE&I programEmployee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling servicesInclusivity At CurinosWe 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 Prospect 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. #J-18808-Ljbffr

📌 Manager, Delivery Data Science (Toronto)
🏢 Curinos
📍 Toronto