Applied Data Science Manager

Posted 6 Days Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
Entry level
eCommerce • Retail
The Role
Leads applied data science delivery for retail and brand clients, translating complex business questions into models, insights, and commercial recommendations. Develops client workplans, allocates resources, manages delivery, presents analytical methods to senior stakeholders, and connects advanced analytics to customer outcomes. Builds and mentors teams while maintaining coding standards, quality assurance, and reusable analytical solutions.
Summary Generated by Built In

Applied Data Science 

Our Applied Data Science team turns dunnhumby's analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail - from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce is grounded in real customer data and built to make a measurable difference. 

About the Role 

We are building applied data science capability to support a potential new client partnership in Canada. This role will shape the analytics workplan, lead delivery and connect advanced data science to commercial decisions. 

What You'll Be Doing 

  • You will lead applied data science delivery, helping the team turn complex business questions into compelling client action and scalable analytical solutions. 
  • Develop the annual client workplan with Client Leads so it aligns to business needs and strategy. 
  • Manage and allocate resources to support productivity, timely delivery and measurable results. 
  • Lead the team in turning complex problems into clear insights and recommendations. 
  • Participate in client meetings to present methodology, influence decisions and grow engagement. 
  • Hire, mentor and retain a strong team while maintaining quality assurance, coding standards and reusable science solutions. 

What We're Looking For 

  • You'll bring technical depth, people leadership and the ability to connect data science methods directly to client value. 
  • Experience leading applied data science teams in client-facing environments. 
  • Strong modelling capability and practical experience with tools such as Hadoop, Spark, SQL and Python. 
  • Ability to connect advanced analytics to customer experience and measurable business outcomes. 
  • Confidence presenting methods and solutions to senior stakeholders. 
  • A track record of building teams, managing delivery and creating scalable, reusable solutions. 

Benefits at dunnhumby Canada 

  • Healthcare: Private medical and dental coverage through Desjardins. dunnhumby funds 90% of the full premium cost and the employee funds 10%. 
  • Protection and retirement: Life insurance, Accidental Death & Dismemberment, Short Term Disability and Long Term Disability through Desjardins, plus a 5% allowance of base salary for personal pension or retirement provision. 
  • Time off: 25 days holiday per holiday year in addition to public holidays that fall during the working week, Early Friday finishes, loyalty days and a birthday day off. 
  • Wellbeing: A $500 annual Health & Wellness allowance, the dh Wellness Hub and an Employee Assistance Program with support resources and up to six free professional counselling sessions for employees and their families. 
  • Lifestyle and extras: Long Service Awards and the Talent Scout referral programme.
  • A car allowance is provided to G4+ roles. 

Skills Required

  • Experience leading applied data science teams in client-facing environments
  • Strong modelling capability
  • Practical experience with Hadoop, Spark, SQL, and Python
  • Ability to connect advanced analytics to customer experience and measurable business outcomes
  • Confidence presenting methods and solutions to senior stakeholders
  • Track record of building teams, managing delivery, and creating scalable, reusable solutions

dunnhumby Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dunnhumby and has not been reviewed or approved by dunnhumby.

  • Fair & Transparent Compensation — Pay is considered competitive relative to similar-sized firms in several markets. Positive perceptions of the overall pay-and-benefits mix support the view that compensation is broadly fair.
  • Leave & Time Off Breadth — Paid time off is described as generous, with multi‑week starting allowances plus extras like a paid birthday, loyalty‑based additional days, and periodic early Friday finishes. These features contribute to a favorable time‑off experience across several U.S. locations.
  • Healthcare Strength — Core coverage includes employer‑verified medical, dental, vision, life, and disability insurance alongside HSA/FSA options. This breadth of coverage is positioned as a solid component of the U.S. package.

dunnhumby Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
Year Founded: 1989

What We Do

Dunnhumby is a customer data platform that provides models and insights into how customers engage with retail and e-commerce spaces.

Similar Jobs

Hiya Inc. Logo Hiya Inc.

Sales Development Representative

Artificial Intelligence • Cloud • Mobile • Security • Software
Remote or Hybrid
Toronto, ON, CAN
150 Employees

Toast Logo Toast

Software Engineer

Cloud • Fintech • Food • Information Technology • Software • Hospitality
In-Office
Toronto, ON, CAN
5000 Employees
100K-147K Annually

Cash App Logo Cash App

Strategic Pricing & Monetization Lead

Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Remote or Hybrid
8 Locations
3500 Employees
208K-312K Annually

Cash App Logo Cash App

Chief Compliance Officer, Cash App Investing

Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Remote or Hybrid
8 Locations
3500 Employees
218K-327K Annually

Similar Companies Hiring

Tastewise Thumbnail
Artificial Intelligence • Big Data • Food • Retail • Software • Generative AI • Big Data Analytics
NYC, NYC
120 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account