2 days agoLow ghost risk
dunnhumbyOn-siteLondon, ENG$70K - 100KSenior
Data Scientist Jobs in the UK (No ghost jobs, direct from employers)
- 126 companies
Data scientist jobs across the UK, checked every hour. Pay where listed, posting age, company reviews and a ghost-job check on every posting.
173 jobs found
- 1 day agoLow ghost riskTravis PerkinsHybridNorthampton, England$55K - 75KMid-level
- 1 day agoLow ghost riskMoonpig.comHybridLondon, ENG$55K - 85KMid-level
- 1 day agoLow ghost riskMoonpig.comHybridManchester, England$45K - 65KMid-level
- 2 days agoLow ghost riskTailscoOn-siteRichmond, England$45K - 65KMid-level
- 3 days agoLow ghost riskCrown Commercial ServiceHybridLiverpool, England$61K - 70KMid-level
- 3 days agoLow ghost riskGreene KingOn-siteSunrise House$45K - 75KMid-level
- 3 days agoLow ghost riskCrown Commercial ServiceHybridBirmingham, England$61K - 70KMid-level
- 5 days agoLow ghost riskPets at Home GroupHybridHandforth Support Office$65K - 95KMid-level
- 1 week agoModerate ghost riskM&G plcOn-siteStirling, Scotland$55K - 80KSenior
- 1 week agoModerate ghost riskM&G plcOn-siteReading, England$65K - 95KSenior
- 1 week agoModerate ghost riskM&G plcOn-siteEdinburgh, Scotland$55K - 85KSenior
- 1 week agoModerate ghost riskBrush Electrical MachinesHybridLoughborough, England$55K - 85KSenior
- 1 week agoModerate ghost riskJust Eat Takeaway.comHybridFleet Place Office$75K - 110KMid-level
- 14 hours agoLow ghost riskLondon Stock Exchange GroupOn-siteLondon, ENG$85K - 120KLead
- 1 week agoModerate ghost riskGammaHybridNewbury, England$65K - 95KSenior
- 14 hours agoLow ghost riskBritish CouncilHybridLondon$40KJunior
- 1 day agoLow ghost riskRavelinOn-siteLondon, ENG$45K - 60KJunior
- 1 day agoLow ghost riskCapita plc.HybridWarminster, England$60K - 85KSenior
- 1 day agoLow ghost riskLondon Stock Exchange GroupOn-siteEdinburgh, Scotland$45K - 60KJunior
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London | Full-time | Hybrid
About dunnhumby
dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.
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're looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.
Our team is focused on delivering impactful insights to Tesco UK Suppliers using the breadth and depth of Tesco UK transactional, shopper and clickstream data.
We partner with our Client Leadership teams to understand our clients' needs and identify opportunities to help them grow. Using our data, tools and analytical expertise, we deliver impactful insights and develop scalable, reusable solutions that create measurable value. You'll drive change, shape innovative solutions and help redefine how our clients use data to make better decisions.
What We're Looking For
- Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
- Strong programming skills - Python and SQL are essential; PySpark experience is highly advantageous.
- Experience with version control tools (e.g. GIT).
- Solid understanding of analytical technologies, tools, and techniques.
- Excellent logical thinking and problem‑solving abilities.
- Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences.
- Proven experience in statistical modelling and applying data science solutions to real client problems.
- A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact.
- Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment.
- Background in retail analytics is advantageous.
You'll Thrive If You…
- Enjoy balancing technical depth with commercial impact.
- Like exploring new analytical approaches and challenging established thinking.
- Take ownership of complex problems and see them through to delivery.
- Are motivated by helping others develop and succeed.
What You Can Expect From Us
We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process - please let your recruiter know what adjustments would help.
UK Benefits
- Healthcare & Protection: Flexible allowance, private medical insurance through Vitality, life assurance, partner life assurance, income protection and critical illness cover.
- Pension: Aviva pension scheme with up to 7.5% employer matching.
- Wellbeing: Access to the Wellness Hub and confidential employee assistance support services.
- Lifestyle Benefits: Car leasing, Cycle to Work scheme, technology purchase options and additional voluntary benefits.
- Time Off: Annual holiday allowance, public holidays, the option to purchase additional leave, loyalty days and a birthday day off.
- Additional Recognition: Long service awards and Talent Scout referral rewards.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here).
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Company Reviews
Employee reviews4.3
1,991 Reviews- Avoid!2026-03-10T04:52:35.943
Pros: Ability to WFH was a plus
Cons: Toxic management with unclear expectations
- Great Place to Work2026-02-25T16:18:55.143
Pros: Every person I've had the pleasure of working with has been great. I've worked with 100+ people globally and every one of them has been terrific. Very self motivated and true team members.
Cons: dh is not publicly traded. Now, I'm not smart enough to know if this would be better or worse, but I do enjoy seeing other companies provide stock options.
- Product Chaos and Corporate Culture at dunnhumby2026-02-24T02:44:05.300
Pros: Very strong design team and leadership (but operating in a broken and immature product org that does not know how to work with them) Good support from HR + Managers when it's needed Good benefits
Cons: Where to start… dunnhumby is an extremely challenging place to work as a UX or Product Designer — and not in a positive way. The product organisation is still very immature, including at the product leadership level. Combined with this, the business operates within a complex domain and has committed to ambitious client launch commitments for a product that is still largely unbuilt. The result is significant pressure on the teams responsible for delivery. Because many people privately believe these commitments are unrealistic, a large number of meetings and day-to-day interactions are overshadowed by fatigue, frustration and a general sense that the situation is unsustainable. There also appears to be limited interest in building a product grounded in user research. Instead, designers and researchers are frequently directed to execute on the vision of a single product leader, even when research evidence suggests the proposed solution may not address real user needs. Many designers I’ve spoken with are actively considering leaving the company, largely due to concerns about wellbeing, professional growth, and the ability to practice good product design. Several long-tenured employees (20+ years) mentioned that this level of organisational chaos is not unusual for the company. The business has experienced significant leadership turnover in recent years, including multiple CEOs and Chief Product Officers, which appears to have contributed to the lack of product maturity. Culturally, the organisation feels highly corporate and formal, which is unusual for a product and technology environment, though perhaps more typical of a consulting culture. Internal meetings tend to be overly formal, and discussions about failure, learning, or the need to pivot are rarely handled openly. This creates an environment where it is difficult to practice modern product development, which depends on transparency, experimentation, and learning from mistakes. In terms of work–life balance, I did not personally work significant overtime, largely because I was disciplined about maintaining boundaries. However, despite this, I often felt stressed and unhappy at work. The broader atmosphere within the team was frequently tense, with many colleagues experiencing high levels of pressure and frustration, which made it difficult to fully disconnect from work outside of working hours. From my perspective, many of the challenges feel systemic and unlikely to improve without stronger and more experienced product leadership. Ultimately, the organisation seems to combine some of the most difficult aspects of both startups and large corporates — the chaos and lack of structure often associated with early-stage companies, alongside the slow decision-making, risk aversion and bureaucracy of a large enterprise.
Related jobs by role, place and level
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Frequently asked questions about data scientist jobs in the UK
What is a ghost job?
A ghost job is a posting for a role the company isn't actively hiring for. Some stay up after the company fills the role. Others collect resumes for an opening that may never come.
You spend an evening tailoring an application, and nobody on the other side is looking for you.
What do data scientist jobs in the UK pay?
Few of these postings list pay. Where an employer posts a range, the job card shows it; where it doesn't, the card shows an estimate and says so. Counting those estimates, the median here is about $80,000 a year (in US dollars).
How many data scientist jobs in the UK are there?
At our last count there were about 170 open postings from about 130 employers. The list on this page is live, so the count above it is the current one.
How does Enhancv spot a ghost job?
Every posting goes through five checks: how long it has been up, whether a salary is posted, what employees say about the company, how specific the description is and whether it lists real requirements. Each job shows the checks it passed and the ones it didn't.
How fresh are the job postings?
Enhancv checks postings every hour, and every job shows how long ago it went up. Most hires happen within 30 days of posting. A listing that's been open for two months raises its ghost job risk.