Data Scientist (AI & ML)
Data Scientist (AI & ML)

Data Scientist (AI & ML)

London Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement AI models, analyse datasets, and collaborate with cross-functional teams.
  • Company: Join Rightmove, the UK's largest property portal, dedicated to simplifying moving for everyone.
  • Benefits: Enjoy private medical insurance, generous holidays, hybrid working, and various lifestyle perks.
  • Why this job: Be part of a dynamic team driving innovation in AI and ML, making a real impact.
  • Qualifications: Experience in ML model development, proficiency in SQL and Python, and a background in quantitative fields.
  • Other info: We embrace diversity and encourage all candidates to apply, regardless of qualifications.

The predicted salary is between 28800 - 48000 £ per year.

We are looking for a Data Scientist in London , reporting to the Head of Data Science .

The role

We seek a talented Data Scientist to leverage machine learning and AI, enabling impactful innovations at scale. You will work in a cross-functional team to identify business opportunities, design and implement machine learning and AI models, and develop innovative solutions. You will also play a pivotal role in developing models that go beyond traditional techniques, collaborating closely with product, design, engineering, and data teams to explore and apply ML and AI techniques.

The Data & Analytics Team has grown significantly over the past 18 months, investing in data and data science capabilities to deliver effective solutions in a dynamic industry.

Typical weekly tasks include:

  1. Designing and implementing machine learning and AI models for tasks such as prediction, classification, recommendation systems, image synthesis, and text generation.
  2. Analyzing complex datasets to provide insights.
  3. Engaging with stakeholders on business problems and potential ML or AI solutions.
  4. Collaborating with domain experts to engineer meaningful features.
  5. Working with ML and Data Engineers to prepare datasets.
  6. Designing experiments, monitoring metrics, and understanding changes.
  7. Monitoring deployed solutions.
  8. Sharing progress and challenges with team members and stakeholders.
  9. Contributing to strategic technology decisions.
  10. Sharing knowledge within the Rightmove data and AI community.

Candidate requirements:

  • Experience in developing and deploying machine learning models, including large language models and generative AI frameworks is a plus.
  • Ability to support organizational capabilities in ML and AI.
  • Skill in tackling loosely defined problems with ML solutions.
  • Effective communication of findings to technical and non-technical audiences.
  • Curiosity, creativity, and strong critical thinking skills.
  • Experience working in cross-functional teams.
  • Ability to challenge ideas constructively and propose solutions.
  • Keeping up-to-date with latest advancements in data science and AI.

Preferred additional skills include:

  • Formal experience as a data scientist in production environments.
  • Proficiency in SQL and Python.
  • Knowledge of statistical analysis, ML packages (XGBoost, LightGBM), and deep learning frameworks (PyTorch, TensorFlow, Keras).
  • Experience with generative AI and large language models (OpenAI, Hugging Face, etc.)
  • Understanding of software development paradigms, tools (Git), and cloud platforms (GCP, BigQuery, Vertex AI).
  • Data visualization skills.
  • Strong problem-solving and interpersonal skills.
  • Educational background in a quantitative field (Statistics, Computer Science, Data Science, Mathematics, or related).

About Rightmove

Our vision is to empower everyone to make their move. We aim to simplify moving by offering comprehensive tools, expertise, and trust. As the UK\’s largest property portal, we serve millions of users, maintaining a friendly and supportive work environment rooted in our core values: creating value, thinking bigger, caring deeply, moving together, and making a difference.

We support our team with ongoing training, inclusive culture, and development opportunities, making us a great place to work.

What we offer

  • Benefits like private medical insurance, pension, life insurance, and more.
  • Generous holiday entitlement and paid volunteering days.
  • Hybrid working model.
  • Various financial and lifestyle benefits.

We are an equal opportunity employer committed to diversity and inclusion. We value your unique perspective and encourage all qualified candidates to apply, even if you don\’t meet every qualification listed.

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Data Scientist (AI & ML) employer: Rightmove

Rightmove is an exceptional employer, offering a dynamic and inclusive work culture in London that fosters innovation and collaboration. As a Data Scientist, you will benefit from ongoing training and development opportunities, alongside a generous benefits package including private medical insurance and a hybrid working model. Join us to make a meaningful impact in the property sector while being part of a supportive team that values creativity and diverse perspectives.
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Contact Detail:

Rightmove Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist (AI & ML)

✨Tip Number 1

Familiarise yourself with the latest advancements in machine learning and AI. Follow industry leaders on social media, read relevant research papers, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Engage in networking opportunities within the data science community. Attend meetups, webinars, or conferences related to AI and ML. Building connections can lead to valuable insights about the role and may even result in referrals, increasing your chances of landing the job.

✨Tip Number 3

Showcase your practical experience by working on personal projects or contributing to open-source initiatives. Highlight these experiences in conversations or during interviews to demonstrate your hands-on skills with machine learning models and tools like Python, SQL, and deep learning frameworks.

✨Tip Number 4

Prepare to discuss how you've tackled loosely defined problems in the past. Think of specific examples where you applied ML solutions to real-world challenges. This will illustrate your problem-solving abilities and your capacity to work collaboratively in cross-functional teams.

We think you need these skills to ace Data Scientist (AI & ML)

Machine Learning Model Development
Artificial Intelligence Techniques
Data Analysis
Statistical Analysis
Proficiency in Python
Proficiency in SQL
Experience with ML Packages (XGBoost, LightGBM)
Deep Learning Frameworks (PyTorch, TensorFlow, Keras)
Generative AI Knowledge
Large Language Models Experience
Feature Engineering
Data Visualization Skills
Cross-Functional Team Collaboration
Effective Communication Skills
Problem-Solving Skills
Curiosity and Creativity
Understanding of Software Development Tools (Git)
Familiarity with Cloud Platforms (GCP, BigQuery, Vertex AI)
Critical Thinking Skills
Ability to Engage with Stakeholders

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and AI. Include specific projects or roles where you've developed and deployed models, especially if they relate to large language models or generative AI frameworks.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and AI. Discuss how your skills align with the role's requirements and mention any cross-functional team experiences that demonstrate your collaborative abilities.

Showcase Technical Skills: Clearly list your technical proficiencies, such as SQL, Python, and familiarity with ML packages like XGBoost or deep learning frameworks like TensorFlow. Provide examples of how you've used these skills in past projects.

Demonstrate Problem-Solving Ability: Include examples in your application that showcase your critical thinking and problem-solving skills. Describe situations where you tackled loosely defined problems with innovative ML solutions, and how you communicated findings to both technical and non-technical audiences.

How to prepare for a job interview at Rightmove

✨Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning models, especially large language models and generative AI frameworks. Bring examples of projects you've worked on, and be ready to explain the techniques you used and the outcomes achieved.

✨Demonstrate Problem-Solving Abilities

Expect to tackle some loosely defined problems during the interview. Practice articulating your thought process for approaching these challenges, and how you would apply ML solutions to real-world business issues.

✨Communicate Effectively

You’ll need to convey complex technical concepts to both technical and non-technical audiences. Prepare to explain your findings in a clear and concise manner, using relatable examples to illustrate your points.

✨Engage with Cross-Functional Collaboration

Highlight your experience working in cross-functional teams. Be ready to discuss how you’ve collaborated with product, design, engineering, and data teams in the past, and how you can contribute to a collaborative environment at Rightmove.

Data Scientist (AI & ML)
Rightmove
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R
  • Data Scientist (AI & ML)

    London
    Full-Time
    28800 - 48000 £ / year (est.)

    Application deadline: 2027-08-18

  • R

    Rightmove

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