At a Glance
- Tasks: Develop and enhance recommendation systems and vision language models using machine learning.
- Company: Join Mapp, a leading AI-powered retail technology company.
- Benefits: Enjoy flexible working, competitive compensation, and a supportive culture.
- Other info: Collaborative environment with opportunities for professional 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 and vision language models, 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 (experience with PySpark is a plus).
- 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 and vision language models.
- Experience with cloud and data technologies, such as AWS, DBT, Airflow, Databricks, and ETL pipelines.
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 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.
Senior Data Scientist – Recommender Systems & VLMs 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 sector. 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 a team where your expertise in machine learning and analytics will be valued and where you can drive meaningful change alongside passionate colleagues.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Recommender Systems & VLMs
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Mapp. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving recommendation systems or machine learning. This will give you an edge and show us what you can really do.
✨Ace the Interview
Prepare for technical questions but also be ready to discuss how you’ve solved real-world problems. We love candidates who can communicate complex ideas simply, so practice explaining your work to non-techies!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist – Recommender Systems & VLMs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your expertise in machine learning, recommendation systems, and any relevant projects you've worked on. We want to see how you can make an impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for AI and personalisation. Share specific examples of how you've tackled complex product challenges and how your background makes you a great fit for our team. Keep it engaging and authentic!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and any experience with tools like AWS or Databricks. We love seeing candidates who can communicate technical concepts clearly, so if you've done this in past roles, let us know!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team at Mapp!
How to prepare for a job interview at Mapp
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems and vision language models. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some hypothetical problems during the interview. Think about how you would approach complex product challenges using analytics and experimentation. This is your chance to demonstrate your analytical mindset!
✨Communicate Clearly
Since you'll need to explain technical concepts to non-technical stakeholders, practice simplifying your explanations. Use relatable examples to illustrate your points, showing that you can bridge the gap between data science and business needs.
✨Be Ready to Collaborate
Mapp values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Highlight any experiences where you influenced product strategy or drove innovation through collaboration.
