Senior Data Scientist (Recommender Systems)

JR United Kingdom; City Of London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading technology company is seeking a Senior Data Scientist in London to join their expanding Data Science team. The role involves leveraging data science techniques to create innovative recommender systems and working collaboratively with senior colleagues to harness data for business growth. Candidates should possess a strong background in machine learning and statistical knowledge, along with commercial experience in recommendation engines.

Qualifications

• Strong commercial experience in building recommender systems.
• Experience in software development best practices (CI/CD).

Responsibilities

• Spot business opportunities to leverage data science techniques.
• Build relevant statistical/machine learning models.
• Communicate findings effectively to stakeholders.

Skills

Machine Learning

Statistical Knowledge

Recommendation Engine Experience

Education

STEM / Computer Science Degree

Job description

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Senior Data Scientist (Recommender Systems), london (city of london)

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Client:

Xcede

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Senior Data Scientist

x2 days a week in office

Xcede is thrilled to be partnering with one of the world's leading tech companies as they expand their Data Science team. With millions of customers using their products daily, data is at the heart of everything they do.

The Head of Data, a highly skilled Data Scientist with a track record of building exceptional teams, is now focused on assembling another world-class group of experts.

As part of this expansion, the company is looking to onboard a Senior Data Scientist with strong commercial experience in building Recommender Systems. Experience in designing and deploying Graph Models or Graph Neural Networks would be a significant advantage.

Responsibilities

• Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value.
• Build relevant statistical / machine learning models-related projects.
• Build RecSys / Recommendation Engines / Recommender Systems / Recommendation Systems
• Communicate findings effectively to stakeholders to encourage adoption.

Requirements

• A STEM / Computer Science degree (ideally MSc and above but all backgrounds considered).
• Strong Machine Learning & Statistical knowledge
• Commercial Recommendation Engine experience
• Software Development best practice approach (CI/CD experience, etc.)

If this role interests you and you would like to learn more, please apply here or contact us via [emailprotected] (feel free to include a CV for review).