Senior Data Scientist: Personalisation & Gen AI Hybrid

Data Idols; Greater London; Hybrid; GBP 80,000 - 85,000; Full time

Job summary

Data Idols in London is seeking a Senior Data Scientist to design and deploy production-grade ML models powering personalised experiences across a large-scale digital platform. The role focuses on recommender systems, retrieval and generative AI components used by millions of customers.

You will collaborate with product managers, engineers and MLOps to move ideas from experiments into production, setting best practices for robust, scalable ML systems.

Qualifications

• Strong commercial experience with Python.
• Excellent understanding of machine learning, statistical modelling and experimental design.
• Experience developing and deploying end-to-end machine learning products into production.
• Knowledge of recommender systems, personalisation, retrieval or ranking techniques is highly desirable.
• Experience working with LLMs, Generative AI or conversational AI products would be advantageous.

Responsibilities

• You’ll design, build and deploy production-grade machine learning models that power highly personalised customer experiences.
• From recommendation algorithms and retrieval systems through to LLM-powered conversational AI, you’ll be working on products used by millions of customers every day.
• This is a highly collaborative role where you’ll partner with Product Managers, Engineers and MLOps teams to take ideas from experimentation into production. You’ll also help shape technical best practice across the team, championing robust experimentation, high-quality code and scalable machine learning systems.

Skills

Python

Machine learning

Experiment design

Production deployment

Recommender systems

LLMs / Generative AI

Job description

Data Idols in London is seeking a Senior Data Scientist to design and deploy production-grade ML models powering personalised experiences across a large-scale digital platform. The role focuses on recommender systems, retrieval and generative AI components used by millions of customers.

You will collaborate with product managers, engineers and MLOps to move ideas from experiments into production, setting best practices for robust, scalable ML systems.