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

Apply Now

Quantitative Research Manager-UK

Bolt Insight
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Research Manager (Quantitative – Survey Hub)

Quantitative Research - Rates - Associate

Quantitative Developer

Python Software Engineer - Quantitative Hedge Fund: £120-180k

Treasury Senior Quantitative Researcher

Graduate: Sustainability Data Analyst

Quantitative Research Manager
Role

Quantitative Researchers with experience from corporate backgrounds should apply; this role is not suitable for researchers coming from academic or governmental focus roles.


Location

Remote/Hybrid


Salary

TBC, plus bonuses


About Us

Bolt Insight is the first real-time digital market research platform driven by people’s unique behaviours and interests. We are on a mission to unite our clients with their consumers through pioneering solutions and technology to maximise human insights and innovate!


The Role

Making a mark and driving high growth at a global level, working with a portfolio of clients such as Unilever, Premier Foods, Sodexo, Diageo and more.


You will have a role of working in the research and insights team to manage quantitative research activities, with an additional focus on supporting client relationships as part of the business management.


Main Duties And Responsibilities

  • Actively develop opportunities with existing clients, anticipating their business needs and making effective use of Bolt Insight's research technology.
  • Lead client briefing meetings and contribute to shaping project proposals (working alongside the business lead) to best meet expectations.
  • Offer exceptional questionnaire design based on the client’s brief, challenging where necessary to ensure objectives are met.
  • Effectively lead the project management of approved projects, and provide support on strategic account management for new (prospective) projects.
  • Take responsibility for the overall quality of projects, overseeing all steps of the project lifecycle, from initial set-up and design of sample plans/surveys, to creating analysis for delivery of the final data.
  • Prepare client reports with valuable insights to be presented to the clients.
  • Provide clients with actionable recommendations to improve their brand positioning and strategy.

Experience

  • Quantitative research experience in a client-facing role. (minimum 5 years)
  • Experience in a previous operational and project management position (questionnaire design, insight generation etc).
  • Segmentation, U&A, innovation studies (concept testing)
  • Worked within FMCG (Unilever, P&G, Coca-cola etc)
  • Strong communication skills, both written and spoken.
  • Attention to detail and a commitment to maintaining consistency and accuracy.
  • Good working knowledge of MS Office Word, Excel and PowerPoint.
  • Educated to degree level (or equivalent) - a bachelor's degree in business, marketing, sociology or related fields of study.
  • Proven analytical, interpretative and problem-solving skills, to deliver high-quality work within agreed timelines.

What You Can Expect

Bolt Insight is a growing, purpose-driven start-up with a people-first culture and a passion for redefining how market research is done. We’re a diverse and collaborative team, united by our commitment to delivering human-first insights that make a real difference.


Our clients value the exceptional results they achieve through our creative solutions and the consistent support they receive from our entire team — and that’s what makes working here truly rewarding.


At Bolt Insight, we foster a strong sense of community, encourage flexibility, and give you room to explore your ideas, take ownership of your work, and grow with confidence. You’ll have plenty of opportunities to make a real impact and shape how things are done.


We’re based in London, but we also support remote working. We’re always open to discovering how our team members can blend work and life in a way that’s sustainable and fulfilling — because for us, it’s all about your contribution and well-being.


Why Work for Bolt Insight

  • Remote working
  • A flexible working environment
  • Business referral bonus
  • Employee referral bonus
  • Getting together as a team, virtually (to combine the global gang), or locally!
  • In-house recognition awards to celebrate our ‘lightening bolts’


#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.