Data Science Manager – Insights Consultancy

Resources Group
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Science / Data Mining Specialist

Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaS

Data Scientist

Senior Data Scientist

Business Intelligence and Database Lead

Data Scientist

CD00649687

Data Science Manager – Insights Consultancy

To £65,000; London (Hybrid working)

Data Science Manager sought by the highly visible Data Science team of this leading global insights consultancy in a key, client facing role.


The Data Science Team here covers numerous segmentation and conjoint led insights projects, grounded in survey data, and working closely with consulting teams and clients in so doing – but they are also involved in wider corporate initiatives where data science input is required too. Clients are typically large consumer brands, public bodies, government and leading not-for-profit organisations.


In joining this hugely successful team you’ll bring client facing skills, technical and coding prowess to compliment a team made up of skilled Data Scientists from market research backgrounds. You’ll therefore be a Data Scientist who alongside knowledge of surveys and segmentation, also has good skills in Python (and R), machine learning, Bayesian methods, text analytics and more. Previous work in market research/insights in a data science/analytics capacity is essential re helping to develop the team’s overall innovative approach to insights led data science approaches.


If you’re keen to be a Data Science Manager in a research agency that will give you client exposure, and value and develop you further (relocation and/or sponsorship [including sponsorship post visa expiry] is not available at this time), contact Carl at Resources Group


About Resources Group:


With over thirty years’ experience helping thousands of Researchers, Insight Specialists, Marketers and Data Analysts in their career moves, no one has better knowledge of the Market Research, Insights and Marketing Strategy job market than Resources Group. Our consultants take the time to understand your career aims and are dedicated to providing impartial advice and finding you the best career move, with access to an unrivalled range of opportunities with top employers in the sector - visit our website for many more options!


Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background.

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

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.

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.