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Google DeepMind

Data Scientist, Research, DeepMind

London
$232k – $252k/yr
Posted about 21 hours ago
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; London, UK.

Minimum qualifications:

  • Master's degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience.
  • 4 years of experience designing and executing multi-method research (e.g., RCTs, field studies, quasi-experiments) to measure cognitive, behavioral, and organizational outcomes.
  • 2 years of experience researching the impact of AI, collective intelligence, or technological transformation on organizations.

Preferred qualifications:

  • PhD degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience.
  • Experience partnering with product/engineering teams to develop science-backed tools or interventions.
  • Track record of collaborations with cross-functional leadership in research and product areas.
  • Demonstrated ability to translate complex empirical findings into actionable strategies for executive leadership and engineering teams.

About The Job

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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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Graduate Consultant — 2026 Scheme

PwC·London, UK
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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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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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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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Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $232000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

  • Learn more about benefits at Google.
  • Design and execute a portfolio of multi-method research projects spanning generative, experiential, computational, and experimental methodologies, balancing scientific excellence with the pace of a frontier AI lab.
  • Define and uphold the team's experimental governance and scientific quality standards, including research ethics, data privacy, and reproducibility protocols.
  • Drive research that closes the loop between empirical insights and AI capability development, ensuring behavioral findings directly inform the design and evaluation of new tools, simulations, and benchmarks.
  • Collaborate across DeepMind technical teams — and, where relevant, with leading external academic partners — to manage open questions at the intersection of AI and organization science.
  • Co-author high-impact research papers, white papers, and executive syntheses that combine scientific authority with broad organizational relevance.

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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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Skills

Multi-method research
RCTs
Field studies
Quasi-experiments
Organizational behavior
Computational social science
AI impact research
Experimental governance
Data privacy
Reproducibility protocols
Cross-functional collaboration
Empirical analysis
Scientific writing
Executive communication

Location

London, England, United Kingdom

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