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dunnhumby

Applied Data Science Manager

Montreal, QC, Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English · French
Posted: Oct 1, 2026

Original job description

English section of this bilingual listing.

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.

Read the full bilingual original

Nous explorons actuellement une opportunité de partenariat passionnante avec un détaillant canadien et commençons à structurer une nouvelle équipe. Il s'agit d'une occasion rare de bâtir une relation client stratégique dès le premier jour, en influençant l’orientation, la structure et l’impact à long terme de l'engagement à mesure qu'il se développe.

Veuillez noter : Ce poste s'inscrit dans le cadre d'un projet de collaboration client proposé et demeure soumis à la conclusion d'un accord commercial définitif. Toute offre d'emploi sera conditionnelle à la signature réussie du contrat et à l'approbation officielle du projet.

Science des données appliquée

Notre équipe de Science des données appliquée transforme les capacités analytiques de dunnhumby en résultats commerciaux concrets pour nos clients. En collaboration directe avec des détaillants et des fabricants, nous concevons et déployons des modèles, algorithmes et analyses qui répondent aux enjeux les plus complexes du commerce de détail, qu'il s'agisse de personnalisation, d'analyse du panier d'achat, de tarification, de promotions ou de fidélisation de la clientèle. Chaque recommandation repose sur des données réelles de consommateurs et vise à générer un impact mesurable.

À propos du poste

Nous développons actuellement notre capacité en science des données appliquée afin de soutenir un potentiel nouveau partenariat client au Canada. Ce rôle consistera à définir la feuille de route analytique, à diriger les livrables et à faire le lien entre la science des données avancée et les décisions commerciales.

Ce que vous ferez

Vous dirigerez les activités de science des données appliquée et aiderez l'équipe à transformer des problématiques commerciales complexes en actions concrètes pour le client ainsi qu'en solutions analytiques évolutives.
Élaborer le plan de travail annuel du client en partenariat avec les responsables de clientèle afin de l'aligner sur les besoins et la stratégie de l'entreprise.
Gérer et répartir les ressources afin d’assurer la productivité, le respect des échéances et l’obtention de résultats mesurables.
Encadrer l'équipe dans la transformation de défis complexes en analyses claires, recommandations pertinentes et actions concrètes.
Participer aux rencontres clients pour présenter les méthodologies, influencer les décisions et développer la relation commerciale.
Recruter, développer et fidéliser une équipe performante tout en maintenant des standards élevés de qualité, de codification et de réutilisation des solutions scientifiques.

Ce que nous recherchons

Vous possédez une solide expertise technique, une expérience de gestion d’équipe et la capacité de relier les méthodes de science des données à la création de valeur pour les clients.
Expérience démontrée dans la direction d’équipes de science des données appliquée dans un environnement axé sur le client.
Excellente maîtrise de la modélisation et expérience pratique avec des outils tels que Hadoop, Spark, SQL et Python.
Capacité à relier les analyses avancées à l'expérience client et à des résultats d'affaires mesurables.
Aisance à présenter des méthodologies et des solutions à des parties prenantes de niveau exécutif.
Expérience éprouvée dans la création et la gestion d’équipes, le pilotage de livrables et le développement de solutions évolutives et réutilisables.

Les avantages chez dunnhumby Canada

Santé : Assurance médicale et dentaire privée offerte par Desjardins. dunnhumby assume 90 % du coût total de la prime et l’employé contribue à hauteur de 10 %.

Protection et retraite : Assurance-vie, assurance décès et mutilation accidentels, assurance invalidité de courte et de longue durée par l’intermédiaire de Desjardins, ainsi qu’une allocation équivalente à 5 % du salaire de base pour soutenir un régime de retraite ou une épargne-retraite personnelle.

Congés : 25 jours de vacances par année, en plus des jours fériés tombant durant la semaine de travail, fin de journée hâtive le vendredi, journées de reconnaissance pour ancienneté et congé offert le jour de votre anniversaire.

Bien-être : Allocation annuelle de 500 $ pour la santé et le bien-être, accès au dh Wellness Hub et programme d’aide aux employés offrant des ressources de soutien et jusqu’à six séances gratuites de consultation professionnelle pour les employés et leur famille.

Mode de vie et avantages additionnels : Programme de reconnaissance pour les longues années de service et programme de recommandation Talent Scout. Une allocation automobile est offerte pour les postes de niveau G4 et plus.

Applied Data Science

About the Role

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.

Apply About employer

More about this job

Responsibilities

You will lead an applied data science team to transform complex business questions into scalable analytical solutions and actionable client insights. You will also manage the annual client workplan, allocate resources, and mentor team members to ensure high-quality delivery.

Requirements

The role requires strong technical expertise in modeling and tools such as Hadoop, Spark, SQL, and Python. Candidates must have proven experience leading data science teams in client-facing environments and the ability to present complex methodologies to senior stakeholders.

Skills

Data science
Team leadership
Hadoop
Spark
SQL
Python
Predictive modeling
Retail analytics
Strategic planning
Stakeholder management
Project management
Mentoring
Business intelligence
Customer loyalty analysis

Benefits

Private medical and dental coverage
Life insurance
Accidental death and dismemberment insurance
Short term disability
Long term disability
Pension or retirement provision allowance
25 days holiday
Early Friday finishes
Loyalty days
Birthday day off
Health and wellness allowance
Employee assistance program
Long service awards
Car allowance

Visa sponsorship

Not detected in the job text

Hiring contact

Ankhur

Keywords

Applied Data Science
Retail
Personalization
Basket analysis
Pricing
Promotions
Customer loyalty
Hadoop
Spark
SQL
Python
Data modeling
Analytics
Client partnership
Business strategy
Resource management
Quality assurance
Scalable solutions
Stakeholder engagement
Mentorship

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