We are looking for a
Data Scientist
Location: London
Reporting to: Senior Data Scientist
The role
As a Data Scientist, you will be part of our newly formed cross-functional squads that consist of people from different job functions across Rightmove including Machine Learning Engineers, Data Scientists, Software Developers, Machine Learning Ops Engineers, and a Product Owner. The squads are collaborative, ambitious, and determined teams that work with a high degree of autonomy and velocity, and value innovation and impact. They sit within the Data and Analytics Team, which is part of the Product Development organisation and plays a pivotal role in delivering exciting solutions.
Last year Rightmove launched a project called RAID (Rightmove AI Discovery) which was an opportunity to successfully explore, experiment and innovate with generative AI. The outputs from RAID, combined with the prioritised Hackathon ideas have contributed to our future product roadmaps. We are looking for a talented Data Scientist who can leverage advanced analytics, statistical modelling, and generative AI to help us solve diverse problems and improve Rightmove's experience for the consumer and estate agents.
In this role you will be responsible for transforming raw data into meaningful actionable insight. You will collaborate with teams to identify business opportunities, design, and implement machine learning models, and develop innovative solutions. As well, you will play a pivotal role in developing and implementing models that go beyond traditional machine learning techniques. Working closely with cross functional teams you will explore and apply generative AI techniques contributing to the creation of novel solutions and driving innovation. You will bring passion for exploring new technologies and have a strong foundation in statistical modelling.
The Data & Analytics Team has continuously grown over the past 18 months, and we continue to invest in enriching our data and data science capabilities to deliver effective and impactive solutions in an industry that is exciting, interesting, relevant, and challenging.
A typical week as a Data Scientist might involve;
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