Data Scientist, AI Growth (Hybrid London/Amsterdam)

Just Eat Takeaway.com

Woking

Hybrid

GBP 70,000 - 100,000

Full time

7 days ago
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Benefits offered by this job

Hybrid work model
Global impact
Learning budget

Job summary

Just Eat Takeaway.com is seeking a Data Scientist to join the AI Growth team in a hybrid role. You will work on end-to-end ML solutions, from problem framing to deployment, across embedding models, LLMs, and recommender systems that boost customer engagement and order growth.

You will collaborate with ML engineers, product teams and commercial stakeholders, translating business problems into scalable data-driven solutions while maintaining rigorous experimentation and delivery standards.

Qualifications

  • Proven track record delivering end-to-end ML solutions from problem framing to production deployment.
  • Hands-on experience with search, retrieval and recommendation techniques with measurable business impact.
  • Experience applying LLMs in production environments with prompt engineering and evaluation.

Responsibilities

  • Lead end-to-end ML projects from problem framing to deployment and experimentation.
  • Develop and deploy embedding models, fine-tuned LLMs and ranking systems to improve engagement and orders.
  • Collaborate with ML engineers, product and commercial stakeholders to ship production ML solutions.

Skills

End-to-end ML
Search & ranking
Python coding
SQL proficiency
A/B testing
MLOps basics
Communication skills
Cross-functional collaboration
Prompt engineering
LLM experience

Tools

Pandas
Spark
SQL-based tools

Job description

Just Eat Takeaway.com is seeking a Data Scientist to join the AI Growth team in a hybrid role. You will work on end-to-end ML solutions, from problem framing to deployment, across embedding models, LLMs, and recommender systems that boost customer engagement and order growth.

You will collaborate with ML engineers, product teams and commercial stakeholders, translating business problems into scalable data-driven solutions while maintaining rigorous experimentation and delivery standards.

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