Associate Data Scientist

Overview

As an Associate Data Scientist at Rightmove, you will apply machine learning and AI to real-world property problems, working closely with senior data scientists and engineers. You’ll contribute to well-defined parts of larger projects within a collaborative, product-focused team. You’ll learn through hands-on model building, data prep and production readiness, with guidance to build strong foundations in data science. This is an opportunity to grow in a supportive environment while delivering measurable impact on the UK property market.

Pay / Benefits

• Private Medical Insurance
• Pension and Life Insurance
• 27 days holiday + 2 volunteering days
• Travel Loans, Bike to Work scheme
• Charitable contributions through Payroll Giving
• Hybrid working with minimum 2 days in the office

Responsibilities

• Build, train and evaluate ML models under guidance
• Tune hyperparameters, interpret results and explain model performance
• Write SQL and Python to query and transform data, perform data quality checks
• Create visualisations and descriptive statistics to highlight patterns
• Support experiment design, evaluation and monitoring of product metrics
• Collaborate with ML and data engineers to prepare data for production
• Monitor deployed models and detect issues like data drift
• Explore new techniques (e.g., LLMs, generative AI) via small prototypes
• Write clean, maintainable code with version control and reproducibility
• Follow AI model standards for robust, well-documented deployments
• Keep the team informed about progress and lessons learned across data/AI community
• Collaborate with product, engineering and data teams to deliver AI features

Key requirements

• Solid understanding of core ML concepts, algorithms, loss functions and evaluation metrics
• Experience with Python and SQL (academic, project or early work)
• Familiar with at least one ML library/framework (scikit-learn, XGBoost, PyTorch or TensorFlow)
• Working knowledge of descriptive statistics and data visualisation
• Comfortable using Git and basic development workflows
• Strong problem-solving, attention to detail and a curious, creative mindset
• Proactive, receptive to feedback and keen to stay updated on data science, ML and generative AI

• Clear communication to technical and non-technical colleagues
• Team-oriented and collaborative mindset
• Open to feedback and continuous learning
• Python
• SQL
• scikit-learn

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