At a Glance
- Tasks: Apply machine learning and analytics to solve complex product challenges in retail.
- Company: Leading AI-powered retail technology company focused on personalisation.
- Benefits: Flexible hybrid working, competitive compensation, and professional development opportunities.
- Other info: Collaborative culture with opportunities for growth and innovation.
- Why this job: Make a real impact on AI-driven retail experiences and influence strategic decisions.
- Qualifications: Degree in a quantitative field and 3-5 years of relevant experience.
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 London employer: Mapp
Mapp is an exceptional employer that fosters a collaborative and supportive culture, allowing Senior Data Scientists to thrive while making a significant impact in the AI-powered retail technology space. With flexible working arrangements, opportunities for professional growth, and a commitment to innovation, employees are empowered to contribute their ideas and shape the future of personalised shopping experiences. Join us to work alongside passionate colleagues and drive meaningful change in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Personalisation & Insights in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mapp!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mapp.
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We think you need these skills to ace Senior Data Scientist – Personalisation & Insights in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mapp, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mapp. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mapp
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mapp!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
