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- 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: Work in a hybrid model with 3 days in the office and enjoy a dynamic work culture.
- Why this job: Shape product strategy while mentoring junior talent in a fast-paced environment.
- Qualifications: Strong background in Statistics or Computer Science with experience in recommendation engines.
- Other info: Reach out for more details; your next big opportunity awaits!
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist – Recommendation Systems
London x3 days in office
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 (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 ready to discuss specific projects where you've successfully deployed these systems and the impact they had.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in machine learning and deep learning, especially as they relate to recommender systems. This will help you engage in meaningful discussions during interviews.
✨Tip Number 3
Highlight any mentoring or leadership experiences you have, as this role involves guiding junior team members. Share examples of how you've helped others grow in their data science careers.
✨Tip Number 4
Network with professionals in the field of data science and recommendation systems. Attend relevant meetups or webinars to connect with others and potentially learn more about the company and its culture.
We think you need these skills to ace Senior Data Scientist (Recommender Systems)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your years of commercial experience with recommendation engines. Detail specific projects where you deployed these systems and the impact they had.
Showcase Technical Skills: Clearly outline your expertise in Machine Learning and Deep Learning. Include any relevant tools or frameworks you have used, as well as any experience with Knowledge Graphs and entity linking.
Demonstrate Leadership Abilities: Since mentoring junior hires is part of the role, include examples of how you've guided or supported less experienced colleagues in previous positions.
Tailor Your Application: Customize your CV and cover letter to reflect the responsibilities and requirements listed in the job description. Use keywords from the posting to ensure your application stands out.
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 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
During the interview, expect to tackle real-world problems related to recommender systems. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to think on your feet.
✨Emphasize Mentorship Experience
Since mentoring junior engineers and data scientists is part of the role, share examples of how you've guided others in previous positions. Discuss your approach to mentorship and how you help others grow in their technical skills.
✨Align with Company Values
Research the company's mission and values before the interview. Be ready to discuss how your personal values align with theirs, and how you can contribute to their product strategy and overall goals.
