Data Scientist- Consumer Behaviour

Datatech Analytics
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist/Machine Learning Engineer - RNA Design

Data Scientist - active NPPV3 required

Data Scientist | London | AI-Powered SaaS Company

Data Scientist - Consumer Behaviour

London office hybrid 3 days per week - Salary negotiable dep on experience between £70,000-£80,000 - J12933

Please note this client is unable to offer sponsorship so please ensure you have full UK working rights.

Datatech are working exclusively with a boutique start up in London, staffed across the UK, US and Canada, to grow their team. This leading consumer behavioural data organisation are servicing some of the largest brands and media companies worldwide and have been working for the last 6 + years adding value to their clients.

This company have an incredible amount of data, and having just skimmed the surface of this, there is a huge opportunity to delve deeper and bring their potential to life.

For the role of Data Scientist, we are looking for an enthusiastic and driven individual, ready to get stuck into some extremely interesting projects and work with some huge global brands.

The Role

  1. Gather, refine, and pre-process large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis.
  2. Apply econometric techniques such as regression analysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes.
  3. Deliver data-driven insights to optimize media buying strategies, guiding channel allocation, budget distribution, and creative testing for maximum impact.
  4. Advanced analytics - explore advanced data analysis techniques, such as machine learning, to improve model accuracy and uncover deeper, more actionable insights.


The Ideal Candidate

  1. 5+ years of experience with a strong proficiency in data analysis tools and techniques (e.g., SQL, Python).
  2. Knowledge of different media channels (social media, print, television, online advertising) and their metrics.
  3. Previous Econometrics background, expertise in statistical methods like linear regression.
  4. Data modelling knowledge.
  5. Understanding business objectives and ability to translate data insights into actionable actions.


If this sounds like the role for you then please apply today!#J-18808-Ljbffr

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.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.