Consultant, Client Analytics (Data Scientist)

Toronto, Ontario, Canada; Calgary, Alberta, Canada

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Bond Brand Loyalty

Bond serves clients globally with customer experience and loyalty solutions that enable brands, customers, employees, partners, and the communities they serve to experience the benefits of growth.

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At Bond Brand Loyalty, we combine human insight with advanced data science to design and optimize customer-centric experiences. As part of our mission to help global brands drive measurable growth, we harness the power of data to deliver highly personalized, loyalty-driven strategies that create lasting emotional and financial value. 

Our Client Analytics team plays a central role in that mission. We develop and implement sophisticated analytical models and machine learning solutions that translate complex customer data into predictive insights and strategic foresight. Whether it's identifying high-value segments, forecasting customer behaviors, optimizing reward mix or modeling campaign impact, our work informs critical business decisions. 

We’re seeking a Data Scientist: a hybrid strategist, data scientist and storyteller, who can lead the development of end-to-end analytics solutions while engaging directly with stakeholders to shape and deliver client impact. You’ll bring both deep analytical expertise and business acumen, working cross-functionally with account teams, product owners, and client stakeholders to unlock value across industries such as retail, financial services, QSR, grocery, and automotive. 

In this role, you’ll have the opportunity to own the full lifecycle of analytics initiatives, from problem framing and solution design to modeling, interpretation and storytelling. You’ll also play a key role in scaling Bond’s data analytics capabilities and mentoring emerging talent within the practice. 
 

Responsibilities: 

Design and deploy end-to-end data analytics solutions, including data extraction, feature engineering, model training, validation, and interpretation. 

Develop and implement predictive and prescriptive models, including but not limited to: customer lifetime value (CLV), churn prediction, behavioral segmentation (clustering), uplift modeling, recommendation systems and marketing attribution. 

Collaborate with stakeholders to translate business questions into analytical frameworks and measurable solutions. 

Apply statistical testing, A/B experimentation, simulation, and optimization techniques to support decision-making and continuous program improvement. 

Build and automate scalable pipelines for data processing and modeling using modern cloud platforms (e.g., Snowflake, Databricks). 

Design and deliver compelling data visualizations and storytelling using tools such as Power BI or Tableau to communicate complex results clearly to non-technical audiences. 

Provide technical leadership on projects, mentor junior team members, and contribute to capability development within the team. 

Support business development by identifying opportunities for data science application and contributing to proposal development. 

 

Qualifications: 

5+ years of experience in applied data science, marketing analytics, or quantitative consulting. 

Bachelor’s degree in a quantitative field such as Computer Science, Data Science, Statistics, Engineering, or Mathematics (Master’s preferred). 

Advanced proficiency in Python and SQL for data manipulation, modeling, and automation. 

Experience applying machine learning techniques (e.g., regression, classification, clustering, tree-based models, NLP) using libraries such as scikit-learn, pandas, and statsmodels. 

Familiarity with cloud data platforms (e.g., Snowflake, Databricks) and scalable model deployment practices. 

Strong communication skills with the ability to translate technical concepts into business insights. 

Experience in loyalty, marketing, or customer experience domains is a strong asset. 

Strong consulting acumen: ability to engage clients, scope opportunities, and present strategic recommendations with confidence.

 

Why Join Bond? 

 

Bond is proudly recognized as a Great Place to Work and Best Managed Company. We’re 800(ish) people working tirelessly together to make the world a more loyal place. You’ll be joining a hyper-talented team with a galaxy of skill sets ranging from research to creative to digital and beyond. You’ll have an excellent opportunity to grow, learn and make an impact as we tackle some of our client’s biggest business challenges.

 

At Bond, we are proud to be a diverse organization, and we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly create equal opportunity and positive employment experiences for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and people with intersectional identities.

 

Please connect with our People & Values team should you require any accommodation.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Classification Clustering Computer Science Consulting CX Data Analytics Databricks Engineering Feature engineering Machine Learning Mathematics Model deployment Model training NLP Pandas Pipelines Power BI Python Research Scikit-learn Snowflake SQL Statistics statsmodels Tableau Testing

Perks/benefits: Career development Startup environment

Region: North America
Country: Canada

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