National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Science Research Intern

Nokia
Cambridge
1 year 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

Research Associate in AI and Data Science (Fixed term for 2 years)

Lecturer in Data Science and Analytics

Lecturer in Data Science and Analytics

Data Scientist - Asset Management

Data Scientist, Internship, United Kingdom - BCG X

Data Scientist

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.