D
Dunnhumby
Data Scientist

Applied Data Science Manager

On-siteSeniorData Scientistposted 1w ago
✦Role summaryAI-generated

The Applied Data Science Manager will lead a team that builds predictive models and algorithms to drive retail insights such as personalization, pricing, and promotions. The role requires translating customer data into measurable commercial impact for dunnhumby's retailer and brand clients.

Skills required

About this role

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.
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