ML Scientist - Personalisation & Growth (Hybrid)

Just Eat Takeaway.com; St Albans; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Just Eat Takeaway.com is hiring a Data Scientist for our AI Growth team to build end-to-end ML solutions that power personalised experiences for millions of customers across multiple markets. The role blends research with production engineering, including embedding models, LLMs and recommender systems.

The successful candidate will work closely with ML engineers, product teams and commercial stakeholders in a hybrid setup, based in London or Amsterdam, with 3 days in the office and 2 days from

Qualifications

• Proven track record delivering end-to-end ML solutions from problem framing through data exploration to production deployment and experiment measurement.
• Hands-on expertise in search, retrieval and recommendation techniques with measurable business impact.
• Experience applying LLMs in production environments including prompt engineering and fine-tuning.
• Strong experimentation skills with A/B tests and understanding of online vs offline performance.

Responsibilities

• Lead development and deployment of ML/AI solutions including embedding models and ranking systems.
• Apply generative AI techniques to personalization challenges to improve search relevance.
• Design, run and interpret A/B experiments with statistical rigor.
• Collaborate with ML engineers to productionise models and maintain monitored pipelines.
• Communicate results to product and commercial stakeholders.
• Own end-to-end workstreams from framing problems to presenting findings.
• Write production-grade Python and SQL code for data pipelines.
• Contribute to foundation model platform and personalized targeting systems.

Skills

ML/AI end-to-end

Python

SQL

A/B testing

MLOps

Tools

Python

SQL

Job description

Just Eat Takeaway.com is hiring a Data Scientist for our AI Growth team to build end-to-end ML solutions that power personalised experiences for millions of customers across multiple markets. The role blends research with production engineering, including embedding models, LLMs and recommender systems.

The successful candidate will work closely with ML engineers, product teams and commercial stakeholders in a hybrid setup, based in London or Amsterdam, with 3 days in the office and 2 days from