Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and enhance the Recommender System for our core platform.
- Company: Join an exciting scale-up that's making waves in the tech industry.
- Benefits: Enjoy a hybrid work model with three days in the office and flexible perks.
- Why this job: Shape product strategy while mentoring future data scientists in a dynamic environment.
- Qualifications: Strong academic background and experience in recommendation engines and machine learning required.
- Other info: Reach out to learn more about this confidential opportunity!
The predicted salary is between 48000 - 84000 £ per year.
Senior Data Scientist – Recommendation Systems
London x3 days in office
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
Xcede are delighted to be partnering with a very exciting scale-up. The company is operating on a need-to-know basis right now, so if you want to learn more about this one please get in touch!
Responsibilities
- Help to build the Recommender System that powers the company\’s core platform.
- Help to define the company\’s Product strategy through creating impactful tools for customers / members.
- Mentor junior engineering & data science hires.
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Years of commercial experience working on and deploying recommendation engines
- Excellent Machine Learning and Deep Learning skills
- Experience of working and deploying at scale
- Knowledge Graph and entity linking experience
- General RecSys experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Recommender Systems)
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in recommender systems. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the data science community, especially those who specialise in recommendation systems. Engaging in discussions or attending relevant meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your experience with machine learning and deep learning frameworks. Be ready to discuss specific projects where you've successfully deployed recommendation engines, highlighting your role and the impact of your work.
✨Tip Number 4
Consider creating a portfolio that includes examples of your work with knowledge graphs and entity linking. This can serve as a tangible demonstration of your skills and help you stand out during the interview process.
We think you need these skills to ace Senior Data Scientist (Recommender Systems)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in building and deploying recommendation systems. Emphasise your academic background in fields like Statistics or Computer Science, and showcase any specific projects that demonstrate your Machine Learning and Deep Learning skills.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also reflects your passion for the role. Mention how your experience aligns with the company's product strategy and your enthusiasm for mentoring junior team members.
Showcase Relevant Projects: If you have worked on any significant projects related to recommendation engines or knowledge graphs, include them in your application. Briefly describe your role, the technologies used, and the impact of the project.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A well-presented application reflects your attention to detail, which is crucial for a Senior Data Scientist role.
How to prepare for a job interview at Xcede
✨Showcase Your Technical Skills
Be prepared to discuss your experience with recommendation systems in detail. Highlight specific projects where you've deployed machine learning and deep learning techniques, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Ability
Expect to tackle some technical problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to think on your feet.
✨Emphasise Mentorship Experience
Since mentoring junior hires is part of the role, be sure to share any relevant experiences where you've guided or trained others. Discuss your approach to mentorship and how you help others grow in their roles.
✨Align with Company Values
Research the company’s culture and values before the interview. Be ready to discuss how your personal values align with theirs, and how you can contribute to their mission, especially in building impactful tools for customers.
