dunnhumby

HQ
London
Total Offices: 14
Year Founded: 1989

dunnhumby Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Provides adoption assistance

Offers generous parental leave

Provides family medical leave

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers performance bonuses

Company Culture

Provides commuter benefits

Offers a remote work program

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides paid holidays

Recently posted jobs

5 Hours AgoSaved
In-Office
São Paulo, BRA
eCommerce • Retail
Leads and develops Applied Data Scientists across Brazil and India, delivering scalable data science, advanced analytics, and AI solutions for retail and CPG clients. Advises stakeholders, shapes commercial opportunities, manages end-to-end initiatives using agile methods, and promotes reusable science assets. Requires expertise in statistics, machine learning, customer and retail analytics, stakeholder management, team leadership, and Python, SQL, Spark, and Hadoop, plus fluent English and Portuguese.
YesterdaySaved
Remote
South Africa
eCommerce • Retail
Supports senior team members in transforming retail shopper data into client insights and recommendations. Builds presentations, identifies trends, assists with client briefs, supports a small client portfolio, and collaborates across Insights and Client Success. The role offers training and development for an early-career candidate interested in retail, FMCG, and data-driven decision-making.
2 Days AgoSaved
In-Office
London, Greater London, England, GBR
eCommerce • Retail
Develop and support complex data science models and applications for retail clients, using statistical modeling, machine learning, Python, SQL, and related technologies. Translate complex business problems into scalable, reusable solutions that generate measurable customer and commercial outcomes. Collaborate with client leadership, define new workstreams, communicate insights to nontechnical stakeholders, and help shape innovative approaches in category management and retail analytics.