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

Nominate & Attend

UX Researcher, Quantitative London, UK • Research • ResearchLondon, UK Research...

Meta
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

UX Researcher, Quantitative

Principal Quantitative UX Researcher, Prime Video Experience Design (PVXD)

Principal Quantitative UX Researcher, Prime Video Experience Design (PVXD)

Sr. UX Researcher

Senior UX Researcher

Quantitative Developer

In Enterprise Products research at Meta, researchers
fully own their product space, collaborating with cross-functional
teams to create data-backed understanding which drives strategy and
product decisions for employees world-wide. As a quantitative
researcher, you'll scale the sentiment program, partner with
qualitative researchers, and own rigorous primary and secondary
research execution throughout the product life cycle. UX
Researcher, Quantitative Responsibilities 1. Collaborate and
develop trusted relationships with product, design, and business
cross-functional partners. 2. Identify the right methodology for
the questions and business need, design and execute the full cycle
of research using a wide variety of quantitative methods. 3.
Influence and advocate for insights that shape how product teams
think about short and long-term product strategy. 4. Design and
field surveys, triangulating survey insights with other data
sources (quant and qual) to help teams identify and prioritize
opportunities for product improvements. Minimum Qualifications 1.
Bachelors, Master's, or Ph.D. in human behavior related fields
(Computer Science, Human Computer Interaction, Experimental
Psychology, Sociology, Information Science, Economics, Political
Science, Mathematics, etc.) or relevant years of quantitative
product research experience. 2. Experience working with large-scale
data in multi-method studies. 3. Experience in survey design,
including structure, length, logic, question types, best practices,
and response effects. 4. Experience coding with R, SQL, STATA, SPSS
or equivalent. 5. Experience with both descriptive and inferential
statistics. 6. Demonstrated impact resulting from the translation
of influential narratives with consideration to business needs. 7.
Demonstrated experience communicating results to cross-functional
stakeholders with powerful data visualizations, storytelling, and
presentations. 8. Adapt to a changing environment. 9. Demonstrated
stakeholder and project management. Preferred Qualifications 1.
Familiarity with research in internal enterprise product systems
and tooling. About Meta Meta builds technologies that help people
connect, find communities, and grow businesses. When Facebook
launched in 2004, it changed the way people connect. Apps like
Messenger, Instagram and WhatsApp further empowered billions around
the world. Now, Meta is moving beyond 2D screens toward immersive
experiences like augmented and virtual reality to help build the
next evolution in social technology. People who choose to build
their careers by building with us at Meta help shape a future that
will take us beyond what digital connection makes possible
today—beyond the constraints of screens, the limits of distance,
and even the rules of physics. #J-18808-Ljbffr

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

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

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.