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Research Scientist PhD Intern, 2027

London
Posted about 20 hours ago
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MINIMUM QUALIFICATIONS:

  • Currently enrolled in a PhD degree in Computer Science or a related technical field in the EMEA region, and in your penultimate/final year of education.
  • Experience in one or more research areas; natural language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement learning.
  • Experience with research from previous internships, full-time industry experience, personal projects, lab work, or published papers (being listed as author).

PREFERRED QUALIFICATIONS:

  • Experience as a researcher, including internships, full-time, or at a lab.
  • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
  • Experience in one or more general purpose programming languages: Java, C++, Python, or Go.
  • Ability to complete a 13-17 week full-time internship in the United Kingdom starting in either May, June or July 2027.
  • Ability to design and execute on research agendas.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

ABOUT THE JOB:

Research happens at Google every day, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud, and our computing, storage, and networking infrastructure. To achieve this, we’re working on projects that utilize the latest technologies that push the boundaries of what is possible.

At Google, research-focused engineering interns are embedded throughout the company, contributing to the setup of large-scale tests and deploying promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and more.

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Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

RESPONSIBILITIES:

  • Participate in research to develop solutions for real-world, large-scale problems.
  • Research, conceive, and develop software applications to extend and improve on Google's product offering.
  • Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
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Skills

Computer Science
Natural Language Processing
Computer Vision
LLMs
Machine Learning
Deep Learning
Artificial Intelligence
Data Mining
Image Processing
Multimodal Learning
Multilingual Learning
Reinforcement Learning
Java
C++
Python
Go

Location

London, England, United Kingdom

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