Senior Data Scientist (Recommender Systems)

JR United Kingdom; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative company in the tech space is seeking a Senior Data Scientist specializing in Recommender Systems. This role involves building critical recommendation engines that enhance the user experience on the company's core platform. You will also have the opportunity to shape product strategies while mentoring junior team members, making a significant impact on the company's direction. If you are passionate about data science and eager to work in a dynamic environment, this position offers an exciting chance to grow and contribute to cutting-edge projects.

Qualifications

• Strong academic background in Statistics or Computer Science.
• Experience in developing recommendation engines in a commercial setting.

Responsibilities

• Build the Recommender System that powers the company's core platform.
• Mentor junior engineering and data science team members.

Skills

Machine Learning

Deep Learning

Statistics

Computer Science

Recommendation Engines

Graphs and Entity Linking

Education

Degree in Statistics

Degree in Computer Science

Job description

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Senior Data Scientist (Recommender Systems), London

Client: Xcede

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

4

Posted:

28.04.2025

Expiry Date:

12.06.2025

Job Description:

Senior Data Scientist - Recommendation Systems

London, 3 days in the office per week

Xcede is partnering with a dynamic scale-up. As they operate on a need-to-know basis, please contact us to learn more about this opportunity!

Responsibilities

• Build the Recommender System that powers the company's core platform.
• Contribute to defining the company's Product strategy by creating impactful tools for customers/members.
• Mentor junior engineering and data science team members.

Requirements

• Strong academic background in Statistics, Computer Science, or related fields.
• Experience in developing and deploying recommendation engines in a commercial setting.
• Excellent skills in Machine Learning and Deep Learning.
• Experience working and deploying at scale.
• Knowledge of Graphs and entity linking.

If you're interested or want to learn more, please apply here or contact us via [emailprotected]. Feel free to include your CV for review.