At a Glance
- Tasks: Conduct research and analyse data to drive decisions at Google.
- Company: Join Google, a leader in technology and innovation.
- Benefits: Gain hands-on experience, mentorship, and a chance to impact millions.
- Other info: Full-time internship for 13 weeks starting May-July 2027 in the UK.
- Why this job: Work on cutting-edge projects and develop your skills in a dynamic environment.
- Qualifications: PhD student in relevant fields with experience in data analysis tools.
The predicted salary is between 22500 - 27500 £ per year.
This internship is intended for students enrolled in their penultimate/final year of studies in an accredited full-time Ph D degree program located in the EMEA region.
Participation in the internship program requires that you are located in the UK for the duration of the internship program.
Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2027 (starting in May, June or July) for the duration of the program.
The specific team and project(s) will be determined based on your educational background, interest and skills.
Minimum qualifications
- Currently enrolled in a Ph D program in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of study.
- Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software.
- Experience with methods of statistical data analysis (e. g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.).
Preferred qualifications
- Experience with causal inference methods.
- Experience developing intellectual capital such as peer-reviewed publications.
- Ability to complete a minimum internship 13 weeks in the UK starting between May-July 2027.
About the job
Google's data scientists work within our Software Engineering organization, including Search, You Tube, and Google Ads.
We analyze sets of data and continually run live experiments in order to help drive critical decisions at Google.
Specifically, we support the development of innovative, highly scalable, next-generation technologies through research and advanced analysis.
Google is and always will be an engineering company.
We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users.
At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world.
From Google Ads to Chrome, Android to You Tube, Social to Local, Google engineers are changing the world one technological achievement after another.
Responsibilities
- Provide research on topics including Google's business model and search techniques.
- Produce quantitative and qualitative modeling of business dynamics, user behavior, and more.
- Identify areas for further investigation as well as creating innovative methods of analysis.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes.
Please do not forward resumes to our jobs alias, Google employees, or any other organization location.
Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.
Alphabet Inc. is your sole contractual partner with respect to equity grants.
GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement.
They have no impact on statutory payments.
Current or past grants do not confer an acquired right.
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Data Science PhD Intern, 2027 employer: Google
Google is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its employees. With a strong commitment to professional development, team members have access to numerous growth opportunities and resources to enhance their skills. Working remotely in the UK allows for a flexible work-life balance while being part of a globally recognised leader in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science PhD Intern, 2027
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Science PhD Intern, 2027
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Google will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Google
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Google.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Google that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
