Mapp Digital
Senior Data Scientist – Personalisation & Insights

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Mapp
Mapp is a leading AI-powered retail technology company helping fashion retailers deliver highly personalised shopping experiences. By combining advanced recommendation systems, customer insights, and machine learning, we enable retailers to drive engagement, conversion, and long-term customer loyalty at scale.
Where You Can Make an Impact
We are looking for a Senior Data Scientist who is passionate about applying machine learning, experimentation, and analytics to solve complex product challenges. This is an opportunity to work at the intersection of AI, personalisation, and product strategy, transforming cutting-edge research into scalable solutions that deliver measurable business impact.
As part of our Data Science team, you will:
- Develop and improve our recommendation systems
- Design and evaluate experiments
- Collaborate closely with Product and Engineering teams to shape the future of our platform
You will work on high-impact initiatives, influence strategic decisions, and help drive innovation across products used by millions of consumers and leading retail brands.
The Assets You Bring to the Team
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline
- 3-5 years of experience in Data Science, Machine Learning, or Product Analytics
- Strong proficiency in Python and SQL (experience with PySpark is a plus)
- Experience with A/B testing, experimentation, and statistical analysis
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts effectively to non-technical stakeholders
- Proven track record of building and deploying machine learning models, ideally recommendation systems
- Experience with cloud and data technologies, such as AWS, DBT, Airflow, Databricks, and ETL pipelines
- Experience with dashboarding and data visualisation tools such as Tableau, Power BI, or QuickSight is a plus
What We Offer
Our Culture
We are ambitious in what we do, while maintaining a collaborative, down-to-earth, and supportive culture.
Flexible Ways of Working
We offer a hybrid working model that combines the flexibility of remote work with access to our modern office spaces. You’ll also have the opportunity to work remotely from another EU country for up to two weeks per year (available to employees holding an EU passport).


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Compensation & Benefits
Our benefits package varies by location. Your recruiter will be happy to provide details relevant to your region and answer any questions you may have.
Make an Impact
Join a company where your ideas matter. We value initiative and empower our people to help shape the business, influence how we work, and contribute to the future of our organization.
Growth & Opportunity
From day one, you'll be trusted with meaningful responsibilities, encouraged to drive innovation, and supported in your professional development while working alongside experienced and passionate colleagues. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Sounds Interesting?
Join us in shaping the future of AI-powered retail experiences. We look forward to meeting curious minds, innovative thinkers, and passionate problem-solvers who are eager to make an impact from day one.
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