Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Datatech Analytics
London
4 days ago
Create job alert
Senior Data Scientist - Consumer Behaviour

London office hybrid 3 days per week. Salary negotiable depending on experience to £90,000 + stock options. Job Reference J13004. Please note this client is unable to offer sponsorship so please ensure you have full UK working rights.

This role is with Measure Protocol, working in partnership with Datatech Analytics. The position offers stock options to all employees as part of the compensation package, aligning personal success with the company’s growth.

Overview

Measure Protocol is building the world’s first ethical and transparent human data marketplace. We are seeking a smart, creative and dynamic Senior Data Scientist to help shape and refine our approach and products to build a best-in-class consumer data company.

The Role
  • Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis.
  • Statistical Analysis: Utilise econometric techniques (e.g., regression analysis, time series modelling, panel data analysis) to identify relationships between media spend and business outcomes.
  • Model Validation and Interpretation: Evaluate model accuracy and robustness, interpret results, and communicate findings to stakeholders clearly.
  • Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.
  • Advanced Analytics: Explore new data analysis techniques, including machine learning, to enhance model accuracy and uncover deeper insights.
  • MMM Modelling: Build and maintain complex marketing mix models to assess the incremental impact of different media channels (TV, digital, print) on sales, considering seasonality and competition.
Experience and Skills
  • Data Science: Proficient in Python, R, and SQL; experience with data manipulation, imputation, statistical modelling, and visualization libraries.
  • Statistical Methods: Expertise in linear regression, generalized linear models, panel data analysis, and time series forecasting.
  • Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs.
  • Communication: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders.
  • Business Acumen: Ability to translate data insights into actionable strategies aligned with business objectives.
  • Additional Skills: Experience building and maintaining MMM models to assess incremental impact across channels and informing media buying decisions.
Seniority and Employment
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Analyst and Science
  • Industries: Marketing Services, Consumer Services, and Business Consulting and Services

Referral and application notes: Referrals increase your chances of interviewing. Get notified about new Data Scientist roles in London Area, United Kingdom.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist PhD – Canary Wharf

Senior Data Scientist

Senior Data Scientist/Analyst

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.