Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Analyst (UK Visa Sponsorship Available)

HipHopTune Media
London
5 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Analyst

Quantitative Analyst

Quantitative Analyst

Quantitative Analyst – Quantitative Developer

Sports Trading Quantitative Analyst

Sports Trading Quantitative Analyst

The National Foundation for Educational Research is calling on individuals with a passion for making an impact on the lives of others via education and with sound analytical skills to join them as a Quantitative Analyst. Applications from individuals who meet the criteria below are highly welcome for this rewarding role.
As an independent, not-for-profit organisation, NFER invests any surplus funds directly back into their programme of research to address key questions in education – delivering new knowledge to help build better futures – and in increasing our impact and support for policy makers and practitioners.
The mission of NFER is to generate evidence and insights that can be used to improve outcomes for future generations everywhere, and to support positive change across education systems.
The organisation’s long history, vast experience, and pioneering methods have established their reputation as an authoritative, trusted, and respected voice in education. Today that reputation is enhanced with an unmatched depth and breadth of specialist education knowledge, talent, and methodological expertise.
Their clients include government departments and agencies at international, national, and local levels, third sector organisations, private and public companies, employers, and other organisations with an interest in education. They all benefit from the full range of our expert and professional services.
Position: Quantitative Analyst
Job Type: Full Time
Location: Slough/York, UK (Hybrid or Remote)
About the Role As a Quantitative Analyst at NFER, you will shape and design research and evaluation projects that address pressing education policy and practice questions. Your work will involve working with primary data and analysis of secondary datasets, contributing to both UK and international education and development initiatives.
Main Duties Lead the quantitative elements of mixed methods research projects, ensuring the analysis addresses research questions and client interests.
Manage small to medium-sized quantitative research and evaluation projects through their lifecycle, overseeing progress, risk, budget, and quality outputs.
Prepare, share, and quality-check reports and other outputs for various audiences.
Communicate effectively with clients and stakeholders, managing relationships and addressing issues promptly.
Contribute to the development of innovative research and analysis solutions, and support the proposal development process.
Represent NFER at external meetings, conferences, and events, promoting our research and gaining insights into market and methodological developments.
Qualifications A degree with a strong focus on quantitative approaches (e.g., economics) or equivalent professional experience.
Proven experience applying quantitative research and evaluation methods to education, social policy, and/or international development.
Proficiency in statistical software (e.g., STATA, SPSS, or R) and MS Excel.
Ability to work autonomously and meet deadlines consistently.
Strong verbal and written communication skills, with experience drafting reports and publications.
Compensation and Benefits Competitive salary, ranging from £41,000 to £46,000.
Skilled Worker visa sponsorship (if applicable).
42 days’ holiday per year including Bank Holidays + additional discretionary days.
Flexible working arrangement from day one including access to an office and working from home (the team comes together once a month).
Lots of well-being and social activities.
Required Documents CV/Resume
Application Process Interested and qualified individuals should kindly CLICK HERE to learn more about the role and to apply.

#J-18808-Ljbffr

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 Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.