Senior Data Scientist – Recommender Systems & VLMs (Hybrid)

Senior Data Scientist – Recommender Systems & VLMs (Hybrid)

Full-Time 60000 - 80000 Β£ / year (est.) Home office (partial)
Mapp

At a Glance

  • Tasks: Apply machine learning to create impactful recommendation systems and solve complex product challenges.
  • Company: Mapp, a forward-thinking company at the intersection of AI and product strategy.
  • Benefits: Hybrid working model, supportive culture, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and collaboration.
  • Why this job: Shape scalable solutions that drive business impact while working with cutting-edge technology.
  • Qualifications: Experience in data science and machine learning, with strong analytical skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Mapp is seeking a Senior Data Scientist to apply machine learning and analytics to solve complex product challenges. You will work at the intersection of AI and product strategy, shaping scalable solutions that drive business impact.

As part of our team, you'll develop recommendation systems and collaborate with Product and Engineering teams. We offer a hybrid working model with a supportive culture and opportunities for professional development.

Senior Data Scientist – Recommender Systems & VLMs (Hybrid) employer: Mapp

Mapp is an excellent employer for those looking to make a significant impact in the field of data science. With a hybrid working model, a supportive culture, and ample opportunities for professional development, employees are encouraged to grow their skills while collaborating on innovative projects that drive business success. Join us to be part of a dynamic team where your contributions truly matter.

Mapp

Contact Details:

Mapp Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Scientist – Recommender Systems & VLMs (Hybrid)

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Mapp on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your work with recommendation systems and machine learning projects. This will help you stand out during interviews and demonstrate your expertise.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your data science concepts and coding skills. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior Data Scientist – Recommender Systems & VLMs (Hybrid)

Machine Learning
Analytics
Recommendation Systems
AI
Product Strategy
Collaboration
Data Analysis

Some tips for your application 🫑

Show Your Passion for Data:When writing your application, let us see your enthusiasm for data science! Share specific examples of how you've tackled complex challenges using machine learning and analytics. This will help us understand your approach and passion for the field.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight relevant experiences that align with our focus on recommendation systems and AI. We want to see how your skills can drive business impact!

Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your achievements and technical skills. We appreciate clarity, as it reflects your ability to communicate complex ideas effectively.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our supportive culture!

How to prepare for a job interview at Mapp

✨Know Your Algorithms

Brush up on your machine learning algorithms, especially those related to recommendation systems. Be ready to discuss how you've applied these in past projects and the impact they had on product outcomes.

✨Showcase Your Collaboration Skills

Since you'll be working closely with Product and Engineering teams, prepare examples that highlight your teamwork. Think of specific instances where your collaboration led to successful project outcomes or innovative solutions.

✨Understand the Business Impact

Mapp is all about driving business impact through data. Be prepared to discuss how your work as a Data Scientist has influenced business decisions or improved product strategies in previous roles.

✨Ask Insightful Questions

Prepare thoughtful questions about Mapp's current projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their success.