Manager, Delivery Data Science
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Job Summary
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
Were 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 Curinoss 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 Youll 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 AssistanceProgram 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 doesnt exist and that people can be put off applying for a job if they dont meet all the requirements. If youre 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 pleasecontact us atand well 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 Curinosis 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.
Required Experience:
Manager
