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 making waves in the tech industry.
- Benefits: Enjoy a hybrid work model with three days in the office.
- Why this job: Shape product strategy while mentoring future data scientists in a dynamic environment.
- Qualifications: Strong background in Statistics or Computer Science with experience in recommendation engines.
- Other info: Reach out to learn more about this unique opportunity!
The predicted salary is between 48000 - 72000 £ per year.
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).
Senior Data Scientist (Recommender Systems) employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Recommender Systems)
✨Tip Number 1
Make sure to showcase your experience with recommendation systems in your conversations. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Tip Number 2
Network with professionals in the data science field, especially those who have experience in recommender systems. Attend relevant meetups or webinars to connect with potential colleagues and learn about industry trends.
✨Tip Number 3
Stay updated on the latest advancements in machine learning and deep learning techniques related to recommendation engines. Being knowledgeable about current technologies can give you an edge during discussions.
✨Tip Number 4
Prepare to demonstrate your mentoring skills. Think of examples where you've guided junior team members or contributed to their development, as this is a key responsibility for the role.
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 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 expresses your interest in the Senior Data Scientist position but also outlines how your skills align with the company's needs. Mention your experience with knowledge graphs and entity linking, as well as your ability to mentor junior team members.
Showcase Relevant Projects: If you have worked on notable projects related to recommendation engines, include them in your application. Provide brief descriptions of the challenges you faced, the solutions you implemented, and the impact of your work.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any grammatical errors or typos, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Xcede
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and deep learning techniques, especially in the context of recommender systems. Bring examples of projects you've worked on and be ready to explain your approach and the impact of your work.
✨Understand the Company's Product Strategy
Research the company's core platform and think about how your skills can contribute to their product strategy. Be ready to discuss how you would approach building impactful tools for their customers and members.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions related to recommendation engines. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to tackle complex challenges.
✨Emphasise Mentorship Experience
Since mentoring junior hires is part of the role, be sure to highlight any previous experience you have in mentoring or leading teams. Discuss how you approach teaching complex concepts and supporting others in their professional development.
