Senior Research Manager/Associate Director (Quantitative)

We Are Aspire

London

11 months ago

Applications closed

Related Jobs

View all jobs

Systems and Data Analyst (Milton Keynes, ENG, GB, MK7 6AA)

Principal Data Scientist and Machine Learning Researcher

Data Architect (Milton Keynes, ENG, GB, MK7 6AA)

Quantitative Researcher - Systematic Equities - Global

Quantitative Researcher Systematic Equities - Zug, Switzerland

Senior Data Engineer

Are you looking to join an independent agency, who have an excellent culture? Then you could be the perfect fit for this agency in this flexible quantitative role!JOB TITLE: Senior Research Manager/Associate Director (Quantitative) SALARY: Up to £55k LOCATION: LondonTHE COMPANYThis agency explores consumer behaviour to provide valuable insights. They work on a range of projects, from pricing strategies for snack brands to path-to-purchase studies for leading food companies. Focusing on strategic guidance rather than raw data, they help clients make informed decisions. The agency values work-life balance, offering flexibility with no late nights or weekend work, and the option to work from anywhere. The close-knit team also enjoys regular celebrations, such as summer parties abroad!So if you're looking to work in a close-knit team who actually care about work life balance rather than just speak about it, this could be the role for you!KEY DUTIESDesign projects, write proposals, and ensure high-quality standards are met throughout project execution.Construct reports, debrief results directly to clients, and provide actionable insights for decision-making.Manage internal resources, budgets, and maintain strong client relationships while developing new accounts. SKILLS & EXPERIENCEExperienced with an agency background, curious-minded and passionate about commercial insights.Strong understanding of quantitative research methods, with a focus on deriving actionable data insights.Client-focused with excellent communication, presentation skills, attention to detail, and strong time management abilities.Interested in this role? Apply now and let's have a chat!We Are Aspire Ltd are a Commited employer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Jan 23, 2026

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.