Data Science Manager - Market Research Consultancy

MrWeb Ltd.
City of London
1 month ago
Create job alert
Data Science Manager - Market Research Consultancy London / Hybrid (Up to GBP 65,000 depending on experience) – posted Aug 4 2025

Job Spec:
We are looking for an inquisitive, ambitious, and dynamic individual to join the Data Science team of an established research consultancy to help them continue to develop innovative ways to deliver insight, strategy and consultancy to clients. In your role as a Data Science manager, your skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients’ decisions. You’ll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you’ll start to manage people and lead analytics initiatives. Throughout, you’ll keep growing your expertise, learning new techniques, and pushing the boundaries of what data can tell us.


You will:



  • Run a range of key standard methodologies and execute them with little supervision;
  • Align client business problems into analytical solutions;
  • Lead data science projects with your manager's supervision;
  • Conduct research to identify new opportunities for data science applications within the industry and spot new opportunities to meet client needs;
  • Develop custom scripts or tools to streamline routine tasks;
  • Present results of data science solutions to internal and external clients;
  • Get involved in team development initiatives and run new methodologies;
  • Get involved in company-wide initiatives and developments; and
  • Contribute to internal and external meetings with ideas and suggestions.

You must:



  • Have at least 3‑5 years’ experience running statistical analysis on a range of data sources, especially survey data;
  • Have excellent communication skills and can easily and clearly explain complex concepts in plain English;
  • Have experience leading major projects and can easily and clearly explain complex analytical concepts to colleagues and clients in plain English;
  • Consistently demonstrate excellent communications skills, the ability to prioritise and multi‑task on a daily basis, whilst meeting deadlines;
  • Take pride in and produce high‑quality work, with attention to detail, and have the respect of your colleagues;
  • Are a team player and care about elevating and developing junior members of the team;
  • Are interested in social attitudes and what makes people, consumers and businesses tick;
  • Technically, be comfortable with supervised and unsupervised methods such as clustering and regression.

Technical must‑haves:



  • Experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise;
  • Experience running Segmentation projects using different clustering methods;
  • Expertise with R and/or Python.

Nice‑to‑haves:



  • Interest in current affairs and politics;
  • Experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis;
  • Experience or knowledge of Bayesian methods, machine learning methods, text analytics;
  • Experience or knowledge of analysing client’s CRM data;
  • Experience or knowledge of organisational or financial analytics;
  • Ability to programme in VBA and build Excel‑based simulators.

Who to contact: Email your CV (in confidence) to , quoting the reference above, or contact Andrew Goobey, Andrew Mercer, Caroline Rock or Rebecca Meaton on 020 7287 7237.


IMPORTANT – PLEASE INCLUDE YOUR NAME AND EITHER YOUR RETURN E‑MAIL ADDRESS OR TELEPHONE NUMBER IN THE MESSAGE. Please say that you found the vacancy on MrWeb! Thanks for your interest.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Manager – Property Tech – London

Data Science Manager (GenAI)

Data Science Manager (GenAI)

Data Science Manager (GenAI)

Data Science Manager

Data Science Manager

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.