Senior Data Scientist - London - Hybrid Working

JR United Kingdom; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading online travel company in London is seeking a Senior Data Scientist to join their team. This hybrid role involves working 2 to 3 days onsite, focusing on deploying machine learning models and solving complex problems. Ideal candidates will have strong skills in ML, Python, and SQL, and a willingness to lead projects. Join a dynamic environment that values innovation and customer convenience.

Qualifications

• Experience with ML fundamentals.
• Experience deploying ML models at production scale.
• Good understanding of SQL.

Responsibilities

• Lead end-to-end projects in a fast-paced environment.
• Solve challenging problems using data science techniques.

Skills

ML

Python

SQL

PyTorch

TensorFlow

Tools

GCP

Job description

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Client:

Oliver Bernard

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

5

Posted:

12.05.2025

Expiry Date:

26.06.2025

Job Description:

Senior Data Scientist - London - Hybrid Working

Location: Central London - 2 to 3 days onsite

The client: A leading online travel company specializing in affordable, flexible holiday packages by combining low-cost flights with a wide range of hotel options. They operate primarily as a digital platform, allowing customers to tailor their trips easily, with a focus on convenience, competitive pricing, and customer self-service.

What makes a great candidate:

• Experience with ML fundamentals
• Experience deploying ML models at production scale
• Good understanding of SQL
• Experience with Deep Learning
• Willingness to lead end-to-end projects
• Knowledge of GCP is a plus

If you are a passionate data scientist who enjoys solving challenging problems in a fast-paced environment, then this could be a great fit. Join the team to make a difference today.

Location: London - 2 to 3 days onsite

Position: Senior Data Scientist - Skills: ML, Python, SQL, PyTorch, TensorFlow, GCP