Associate Data Scientist

div class= content-intro p nbsp; /p p span style= color: rgb(0, 4, 67); img style= max-width: 100%; src= https://www.rightmove.co.uk/careers/content/uploads/2026/09/Untitled-30-July-2026-at-10.03.05-3-8.png alt= width= 1001 strong br br /strong /span /p p Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, nbsp;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. /p p We’re home to the UK’s largest choice of properties and are the go-to destination for millions nbsp;of people planning their next move, reading the latest industry news, or just browsing what’s on the market. nbsp; /p hr p nbsp; /p /div p span data-contrast= none We’re looking for an Associate Data Scientist to join Rightmove’s growing Data, Analytics amp; 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. /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /p p span data-contrast= none 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. /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /p p strong span data-contrast= none What you’ll be doing /span /strong span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /p p span data-contrast= none A typical week may involve: /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /p ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 1 data-aria-level= 1 span data-contrast= none Building, training and evaluating machine learning models using standard libraries and techniques, under the guidance of more experienced colleagues /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 2 data-aria-level= 1 span data-contrast= none Tuning model hyperparameters, interpreting results and clearly explaining what a model does and how well it performs /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 3 data-aria-level= 1 span data-contrast= none Writing SQL and Python to query, clean and transform datasets, and carrying out data quality checks /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 4 data-aria-level= 1 span data-contrast= none Applying descriptive statistics and creating clear visualisations to summarise data and highlight meaningful patterns /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 5 data-aria-level= 1 span data-contrast= none Supporting the design and evaluation of experiments and the monitoring of key product metrics /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 6 data-aria-level= 1 span data-contrast= none Working with machine learning engineers and data engineers to prepare data and support the move of models from experimentation into production /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 7 data-aria-level= 1 span data-contrast= none Helping monitor deployed models, flagging issues such as performance degradation or data drift /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 8 data-aria-level= 1 span data-contrast= none Exploring new techniques, including LLMs and generative AI, through small prototypes and proofs of concept /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 9 data-aria-level= 1 span data-contrast= none Writing clear, maintainable code and following team practices such as version control, code review and reproducibility /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 10 data-aria-level= 1 span data-contrast= none Using AI tools responsibly and reliably to work more efficiently, while reviewing, testing and taking ownership of anything, they help you produce /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 11 data-aria-level= 1 span data-contrast= none Following our AI model standards, so that the models we build are robust, well documented and responsibly deployed /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 12 data-aria-level= 1 span data-contrast= none Keeping your team informed about progress and challenges, and sharing what you learn across the data and AI community /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li li data-leveltext=  data-font= Symbol data-listid= 4 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 13 data-aria-level= 1 span data-contrast= none Collaborating with product, engineering, and data teams to support delivery of AI features nbsp; /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul p nbsp; /p p strong span data-contrast= none We’re looking for someone who /span /strong span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /p ul li data-leveltext=  data-font= Symbol data-listid= 5 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 1 data-aria-level= 1 span data-contrast= none Has a solid understanding of core machine learning concepts, including standard algorithms, loss functions and evaluation metrics /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 5 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 2 data-aria-level= 1 span data-contrast= none Has some experience with Python and SQL (through academic work, projects, or early commercial experience) /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 5 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 3 data-aria-level= 1 span data-contrast= none Is familiar with at least one ML library or framework (e.g. scikit-learn, XGBoost, PyTorch or TensorFlow) /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 5 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 4 data-aria-level= 1 span data-contrast= none Has a working knowledge of descriptive statistics and data visualisation, and can interpret results sensibly /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 5 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 5 data-aria-level= 1 span data-contrast= none Is comfortable using Git and basic development workflows /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 5 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 6 data-aria-level= 1 span data-contrast= none Has strong problem-solving skills, attention to detail and a curious, creative mind /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 5 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 7 data-aria-level= 1 span data-contrast= none Is proactive, open to feedback and keen to keep up with developments in data science, ML and generative AI /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li li data-leveltext=  data-font= Symbol data-listid= 5 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 8 data-aria-level= 1 span data-contrast= none Communicates clearly to technical and non-technical colleagues and enjoys working as part of a team /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul p strong span data-contrast= none Nice to have /span /strong span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /p ul li data-leveltext=  data-font= Symbol data-listid= 1 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 1 data-aria-level= 1 span data-contrast= none A degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative or STEM subject /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 1 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 2 data-aria-level= 1 span data-contrast= none Internship, placement year, or project experience involving machine learning or data analysis /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 1 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 3 data-aria-level= 1 span data-contrast= none Exposure to cloud platforms and tools (e.g. GCP, BigQuery, Vertex AI, dbt, AWS or Azure) /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 1 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 4 data-aria-level= 1 span data-contrast= none Familiarity with hypothesis testing and A/B testing, or with data visualisation tools /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 1 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 5 data-aria-level= 1 span data-contrast= none An interest in deep learning, LLMs and generative AI frameworks (e.g. Hugging Face, LangChain) /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul ul li data-leveltext=  data-font= Symbol data-listid= 1 data-list-defn-props= { quot;335552541 quot;:1, quot;335559685 quot;:720, quot;335559991 quot;:360, quot;469769226 quot;: quot;Symbol quot;, quot;469769242 quot;:[8226], quot;469777803 quot;: quot;left quot;, quot;469777804 quot;: quot; quot;, quot;469777815 quot;: quot;multilevel quot;} data-aria-posinset= 6 data-aria-level= 1 span data-contrast= none An awareness of responsible AI practices, such as rigorous model evaluation, fairness and bias, and documenting and monitoring models /span span data-ccp-props= { quot;134245417 quot;:false, quot;201341983 quot;:0, quot;335559737 quot;:282, quot;335559739 quot;:0, quot;335559740 quot;:259} nbsp; /span /li /ul div class= content-conclusion hr h3 span style= color: rgb(0, 4, 67); strong Life at Rightmove /strong /span /h3 p Despite our growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! nbsp; We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include: /p ul li strong We nbsp;create nbsp;value… /strong by delivering results and building trust with partners and consumers. /li li strong We nbsp;think nbsp;bigger… /strong by acting with curiosity and setting bold aspirations. /li li strong We nbsp;care nbsp;deeply… /strong by being real, having fun, and valuing diversity. /li li strong We nbsp;move nbsp;together… /strong by being one team - internally collaborative, externally competitive. /li li strong We nbsp;make nbsp;a difference… /strong by focusing on delivering measurable impact. /li /ul p style= padding-left: 40px; code a href= https://www.rightmove.co.uk/careers/culture/ target= _blank img style= float: left; max-width: 100%; src= https://www.rightmove.co.uk/careers/content/uploads/2026/09/Job-alerts-1.png alt= width= 452 /a /code /p p style= padding-left: 40px; nbsp; /p p style= padding-left: 40px; nbsp; /p p We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing nbsp; nbsp;training opportunities, and supporting charity fundraising events. And with strong 89% of Rightmovers saying we’re a great place to work /strong , we’re clearly doing something right! strong nbsp; br br img src= https://www.rightmove.co.uk/careers/content/uploads/2026/07/Untitled-30-July-2026-at-10.03.05-1-2.png alt= width= 1000 style= max-width: 100%; br /strong /p h3 span style= color: rgb(0, 4, 67); strong img style= max-width: 100%; What we offer /strong /span /h3 ul li Cash plan for dental, optical and physio treatments. /li li Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan. /li li 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes. /li li Contributory stakeholder pension. /li li Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life. /li li Competitive compensation package. /li li Paid leave for maternity, paternity, adoption amp; fertility. /li li Travel Loans, Bike to Work scheme, Rental Deposit Loan. /li li Charitable contributions through Payroll Giving and donation matching. /li li Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more. /li li We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process. /li /ul p strong span style= color: rgb(0, 222, 180); img style= display: block; margin-left: auto; margin-right: auto; max-width: 100%; src= https://www.rightmove.co.uk/careers/content/uploads/2026/09/Untitled-30-July-2026-at-10.03.05-8.png alt= width= 1000 /span /strong /p hr h4 em As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. nbsp; br /em br em At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. /em /h4 hr h4 By applying, you confirm that you are aged at least 18 or over and nbsp;that you’ve read and understood our a class= decorated-link href= https://www.rightmove.co.uk/c/privacy-policy/ target= _blank data-start= 192 data-end= 259 strong data-start= 193 data-end= 211 Privacy Policy /strong /a , which explains how we handle and protect your personal information during the recruitment process. /h4 /div Find more English Speaking Jobs in United Kingdom on Arbeitnow