dunnhumby helps businesses grow through faster, better decision making, as the essential intelligence layer connecting the world’s leading retailers and brands.
Sitting at the intersection of loyalty, media, and category management, dunnhumby, helps to navigate complex and competing priorities. Combining AI-enabled science, software, trusted advice, and 35+ years of dedicated retail experience, dunnhumby is recognised as a leader in connecting customer insight and action to build loyalty, drive performance, and deliver results that last.
With offices in locations across Europe, Asia, Africa, and the Americas, dunnhumby works with brands including Tesco, Coca-Cola, Meijer, Procter & Gamble, and L’Oreal, to make smarter decisions today and tomorrow.
Rating Reviews
Rating is calculated based on
8
reviews and is evolving.
Pros: For an Analytics Consultant, especially if you're starting out in retail data science, the base salary is pretty decent for the London market. I also liked the standard benefits package, like the private healthcare and pension contributions.
Cons: The bonus structure isn't very clear or generous, which can be frustrating. You won't find Silicon Valley pay here; it's competitive but don't expect big raises year after year, even with good performance.
Advice to Management: Be more transparent about bonuses and consider more significant pay increases for top performers to retain talent. A little more recognition for hard work goes a long way.
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Pros: WFH days are pretty good for an Analytics Consultant. You get decent work flexibility, which helps when you need to run errands or pick up kids.
Cons: But in the London office, it's a different vibe. You feel pressured to stay late for customer data science projects, pushing past 40 hours easily. The hybrid model means you can't fully escape the long hours.
Advice to Management: Encourage teams to truly disconnect on WFH days. Set more realistic timelines for customer data science projects to prevent burnout.
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Pros: You'll definitely get deep into customer data science and retail analytics. The project work is solid if you're into that. I learned a lot about specific tools and methodologies here, which is good for your resume in the data science industry.
Cons: Career growth here is genuinely tough for many. There aren't many clear paths to move up, especially for Analytics roles. You often feel stuck unless a manager leaves, which isn't ideal for long-term ambition in a global data science firm.
Advice to Management: Management needs to create clearer career progression frameworks for Data Scientists. Employees want to see defined steps for promotion, not just waiting for someone to leave. Invest in more internal development programs for upward mobility.
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What is the typical work culture like at dunnhumby for data scientists in London?
No answers yet.
What kind of health and wellness benefits does dunnhumby offer its employees in London, and how does the company support work-life balance for data scientists?
No answers yet.
What is the typical work-life balance like for data scientists at dunnhumby, particularly in their London office?
No answers yet.
What is the management style like at dunnhumby, and how does it impact the day-to-day working culture for data analysts in London?
Dunnhumby generally fosters a collaborative management style, encouraging open communication and team input. This approach often translates into a working culture where data analysts in their London offices feel empowered to share insights and contribute to project direction.
What is the typical work environment like for data scientists at dunnhumby in London?
The culture at dunnhumby for data scientists in London is collaborative and analytical, with a strong emphasis on using data to drive client solutions. You'll find teams working on diverse retail and CPG challenges, often in agile squads focused on specific projects.
What is the typical work-life balance like for data scientists at dunnhumby in London?
Work-life balance at dunnhumby can vary depending on project demands, but generally, the company supports flexibility. Many data scientists in the London office find they can manage their hours effectively, especially with hybrid work options available for roles that permit it.
What is the day-to-day working culture like for a Data Scientist at dunnhumby in London?
The data science team at dunnhumby in London typically works in a collaborative environment, focusing on analytical problem-solving and client-focused projects. Expect a culture that values data-driven insights and encourages continuous learning in the retail analytics space.
What is dunnhumby's policy on remote work for data scientists in London?
Dunnhumby offers a hybrid work model, typically allowing data scientists based in their London office to work from home a couple of days a week. This approach balances in-office collaboration with the flexibility of remote work, which is a common arrangement in the retail analytics sector.
