Data Science Research Intern

Nokia
Cambridge
2 years ago
Create job alert

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.

We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work.

The team you'll be part of

Bell Labs is a worldwide research and development community that focuses its efforts on key technologies for telecommunications. It is internationally renowned as the birthplace of modern information theory, the transistor, the laser and the UNIX operating system. Nowadays we are working on the network of . In this new scenario of interconnected things, people will, almost more than ever before, matter. The Social Dynamics team in Cambridge UK works on the idea of a society empowered by digital data. As part of the emerging research area of “Computational Social Science”, the team answers questions typical of the social sciences using computational methods. The team provides a vibrant multidisciplinary research environment with close links to top academics.

What you will learn and contribute to

Bell Labs Cambridge UK is currently seeking interns for the area of Data Science to fill 3-month research internship positions. The Data Science research, in Bell Labs - Cambridge, spans from advanced data mining to intelligent computational models.

A successful candidate is expected to have experience in the areas of Technology and Society, Visualization and Interaction Design, or Data Science.

Responsibilities:

Carry out an active and ambitious research project. Publish the outcomes of the research in major sci­entific venues worldwide, including top confer­ences and journals. Generate intellectual property through the patent­ing of ideas.

Your skills and experience

Candidates should ideally be enrolled in a PhD program in computer science, information science, interaction design, engineering or any related field. Must have the ability to conduct independ­ent research while also contributing to team-oriented projects that often span across multiple Bell Labs sites. A proven record of publication(s) is highly valued, particularly in conference venues such as WWW, CHI, KDD, and CSCW, and journals such as PNAS and Science.  A successful candidate will be versatile, flexible, hands-on, and a self-starter. Experience in development activities is also highly valued. Strong written and spoken communications skills, able to participate in robust discussions in English. Good research skills. 

What we offer

Nokia offers flexible and hybrid working schemes, continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.


Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:


• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark
• LGBT+ equality & best place to work by HRC Foundation

Related Jobs

View all jobs

Lecturer/Senior Lecturer Data Science

Assistant Professor in Actuarial Data Science (T&R)

Assistant Professor in Statistical Data Science

Principal Data Scientist & Machine Learning Researcher

Principal Data Scientist & Machine Learning Researcher

Senior Data Scientist & Machine Learning Researcher

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.