Legal Counsel - 12 month FTC at Rightmove Greenhouse
Associate Data Scientist
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London
Confirm work authorization, visa sponsorship and location requirements with the employer.About the role
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
- Following our AI model standards, so that the models we build are robust, well documented and responsibly deployed
- Keeping your team informed about progress and challenges, and sharing what you learn across the data and AI community
- Collaborating with product, engineering, and data teams to support delivery of AI features
We’re looking for someone who
- Has a solid understanding of core machine learning concepts, including standard algorithms, loss functions and evaluation metrics
- Has some experience with Python and SQL (through academic work, projects, or early commercial experience)
- Is familiar with at least one ML library or framework (e.g. scikit-learn, XGBoost, PyTorch or TensorFlow)
- Has a working knowledge of descriptive statistics and data visualisation, and can interpret results sensibly
- Is comfortable using Git and basic development workflows
- Has strong problem-solving skills, attention to detail and a curious, creative mind
- Is proactive, open to feedback and keen to keep up with developments in data science, ML and generative AI
- Communicates clearly to technical and non-technical colleagues and enjoys working as part of a team
Nice to have
- A degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative or STEM subject
- Internship, placement year, or project experience involving machine learning or data analysis
- Exposure to cloud platforms and tools (e.g. GCP, BigQuery, Vertex AI, dbt, AWS or Azure)
- Familiarity with hypothesis testing and A/B testing, or with data visualisation tools
- An interest in deep learning, LLMs and generative AI frameworks (e.g. Hugging Face, LangChain)
- An awareness of responsible AI practices, such as rigorous model evaluation, fairness and bias, and documenting and monitoring models
Life at Rightmove
Despite our growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! 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:
- We create value…by delivering results and building trust with partners and consumers.
- We think bigger…by acting with curiosity and setting bold aspirations.
- We care deeply…by being real, having fun, and valuing diversity.
- We move together…by being one team - internally collaborative, externally competitive.
- We make a difference…by focusing on delivering measurable impact.
We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 89% of Rightmovers saying we’re a great place to work, we’re clearly doing something right!
What we offer
- Cash plan for dental, optical and physio treatments.
- Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan.
- 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes.
- Contributory stakeholder pension.
- Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life.
- Competitive compensation package.
- Paid leave for maternity, paternity, adoption & fertility.
- Travel Loans, Bike to Work scheme, Rental Deposit Loan.
- Charitable contributions through Payroll Giving and donation matching.
- Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more.
- 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.
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.
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.
By applying, you confirm that you are aged at least 18 or over and that you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.
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