Quantitative Research Manager

ENI - Elizabeth Norman International
London
2 weeks ago
Create job alert

Job Description

  • New role - Research Manager to Senior Manager level
  • Quantitative research
  • London, hybrid
  • Salary £40,000 - £50,000


We are working with a full service insight agency who specialise in ad hoc research in the retail and FMCG sectors.


They conduct mainly ad hoc studies ranging from new product development, product testing, shopper research, pricing, range optimisation and category U&As, to advertising effectiveness and brand tracking for some of the biggest household names in the FMCG and retail sectors.


They have grown steadily and are looking for a Quantitative Research Manager to join the team. It's a great chance to manage core FMCG and retail clients and gaining exposure to exciting research methods.


The role will involve taking the lead on the entire project research cycle, including:


  • Designing projects and writing proposals using appropriate research methods, and upon commissioning, ensuring projects are run to our high quality standards
  • Constructing reports and debriefing the results directly to clients
  • Managing internal resources and budgets
  • Maintaining existing relationships with clients and be proactive in developing new accounts
  • Experience with conjoints and maxdiffs is a plus.


Related Jobs

View all jobs

Systematic Rates Portfolio Manager

Senior Product Manager - Alternative Payment Methods London (Basé à London)

Sales Director

Housing Strategy Project Manager

Liquid Fixed Income Fund Research – VP/SVP (Basé à London)

Customer Insights Manager (12 months)

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.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.