At a Glance
- Tasks: Develop and improve recommendation systems, design experiments, and collaborate with Product and Engineering teams.
- Company: Mapp is a leading AI-powered retail technology company focused on personalisation for fashion retailers.
- Benefits: Flexible hybrid working model and the option to work remotely from another EU country for two weeks per year.
- Other info: Experience with cloud technologies like AWS and data visualisation tools such as Tableau is a plus.
- Why this job: Opportunity to influence strategic decisions and drive innovation across products used by millions.
- Qualifications: 3-5 years of experience in Data Science or Machine Learning, strong proficiency in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
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.
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, and 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
- 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).
- Compensation & Benefits: Our benefits package varies by location. Your recruiter will be happy to provide details relevant to your region.
- 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.
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.
Senior Data Scientist – Personalisation & Insights in Harrow employer: Mapp
Mapp offers a collaborative culture and flexible working arrangements, including remote work options. Located in the EU, the team values initiative and empowers employees to shape the business. Join a passionate group dedicated to transforming retail experiences through AI.
