Quantitative Research Lead (Basé à London)

Jobleads
London
2 weeks ago
Create job alert

Social network you want to login/join with:

Our client is a leading media agency, known for their award-winning approach to their people, clients and social purpose initiatives. Working as part of a small and fast-moving team, we are on the lookout for a quantitative Research Account Director, someone who is analytical, proactive and client-facing, who will manage multiple projects and work with the Research Director to identify and action new business opportunities.

What you’ll be doing:

  • Build strong relationships with clients across different sectors, by understanding their goals, maintaining strong communication and working with the team to manage their bespoke research projects
  • Work with the team to manage end to end research projects, including: crafting proposals, designing research studies, analysing data, designing questionnaires, managing reporting and delivering presentations – ensuring the highest quality of research is delivered by the team
  • Work with the team to ensure effective project planning across all projects, ensure projects are delivered on time and within budget, and all queries escalated and resolved
  • Work with the Research Director to identify, prospect and win new business, ensuring a healthy pipeline of activity based on your contacts, network and relevant industry sources
  • Represent the agency at external networking events, and work with the internal Marketing team on thought leadership content
  • Support junior members of the team by providing feedback, reviewing draft deliverables and encouraging their continuous development

Experience and skills you’ll need to have:

  • Experience having led market research projects (data, quantitative or survey) from an account management, or project management perspective, having worked within a research agency, or within a research-focussed role within a media or marketing business
  • Experience overseeing research projects from beginning to end, with a strong understanding of research methodologies and techniques
  • Demonstrable client and stakeholder management skills in a fast-paced and agile environment, able to lead a research team and work with other team members, clients and audiences with different skillsets
  • Advanced use of MS Office, in particular PowerPoint and Excel
  • Familiarity with either TGI, GWI or YouGov data tools and Facebook Insights/Google Analytics
  • Strong storytelling skills when turning data into insights, with great attention to detail

--

We’re a business born out of the need to create a more diverse and inclusive industry, and one of the ways we do this is by connecting talented individuals with rewarding career opportunities. Working with us means we value you as an individual irrespective of your race, gender, age, sexual orientation, disability, religion, or any other characteristics, and we don’t just stop there. So apply as you are, and we’ll tell you more about what we’re doing.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst - Quant Hedge Fund

Senior Quantitative Developer- Commodities

Quantitative Developer – London (Basé à London)

Quantitative Trader

Senior) Research Manager Remote/Hybrid

Research Executive - Quantitative Research

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.