Associate Data Scientist

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.
We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.
We’re looking for an Associate Data Scientist to join Rightmove’s growing Data, Analytics & AI team. This is an excellent opportunity for someone at an early stage in their career to apply machine learning and AI to real problems in the UK property market, while building strong foundations in data science.
You’ll work closely with experienced data scientists, machine learning engineers and data engineers, contributing to well-defined pieces of larger projects while receiving close support and guidance as you build your skills. This role would suit someone who is keen to learn, enjoys solving practical problems, and wants to develop their skills within a collaborative, product-focused environment.
What you’ll be doing
A typical week may involve:
Building, training and evaluating machine learning models using standard libraries and techniques, under the guidance of more experienced colleagues
Tuning model hyperparameters, interpreting results and clearly explaining what a model does and how well it performs
Writing SQL and Python to query, clean and transform datasets, and carrying out data quality checks
Applying descriptive statistics and creating clear visualisations to summarise data and highlight meaningful patterns
Supporting the design and evaluation of experiments and the monitoring of key product metrics
Working with machine learning engineers and data engineers to prepare data and support the move of models from experimentation into production
Helping monitor deployed models, flagging issues such as performance degradation or data drift
Exploring new techniques, including LLMs and generative AI, through small prototypes and proofs of concept
Writing clear, maintainable code and following team practices such as version control, code review and reproducibility
Using AI tools responsibly and reliably to work more efficiently, while reviewing, testing and taking ownership of anything, they help you produce