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

JR United Kingdom; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading company in the data sector seeks a Senior Data Scientist focused on consumer behaviour. You will engage in tasks like data cleaning, advanced analytics, and statistical analysis to drive insights that shape business strategies. They offer stock options and a vibrant workspace in London.

Qualifications

• Proficient in Python, R, SQL for data manipulation and statistical modelling.
• Expertise in statistical methods like regression analysis and time series forecasting.
• Strong communication skills to convey insights to non-technical stakeholders.

Responsibilities

• Collect, clean, and prepare datasets for analysis.
• Utilise econometric techniques for statistical analysis.
• Evaluate and communicate model findings to stakeholders.

Skills

Data Science

Statistical Modelling

Data Analysis

Data Cleaning

Communication

Business Acumen

Tools

Python

R

SQL

Job description

Social network you want to login/join with:

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition, london (city of london)

col-narrow-left

Client:

Location:

london (city of london), United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

col-wide

Job Description:

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

London office hybrid 3 days per week

Salary negotiable dep on experience to £90,000 + stock options

Job Reference J12960

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

Measure Protocol are looking for a smart, creative and dynamic Senior Data Scientist to help shape and mould their approach and products to build the best-in-class consumer data company.

At Measure Protocol, they believe in building a team of true owners. That’s why they offer stock options to all employees as part of their compensation package, so you share in the value you help create. As Measure grows, so does your stake, aligning our success with yours and giving you a real opportunity to participate in the upside of something meaningful from the ground up.

About Measure

Measure is building the world’s first ethical and transparent human data marketplace.

The world we live in is awash in data: what we watch and wear, who we know, what we do, and how we live our lives. Unfortunately, most of this data is owned and controlled by corporations and we have very little say in when and where it gets used, let alone being compensated for its use.

Measure has a bold mission with a lot of complexities, but they believe there is a real opportunity to change how we manage and monetise our data lives with more control, and in a way that benefits us personally, and as a society as a whole with better data-supported decisions.

Measure has recently raised investment from both venture capital and strategic firms and work with some of the world’s leading brands to provide them access to consumer behavioural data which has not previously been obtainable.

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 like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes.

Model Validation and Interpretation:

Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner.

Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.

Advanced Analytics:

Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights.

Your Experience and Skills:

Data Science:

Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries.

Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting.

Media Industry Knowledge:

Understanding of media landscape, ad formats, audience measurement, and industry KPIs.

Communication Skills:

Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders.

Business Acumen:

Understanding of business objectives and ability to translate data insights into actionable strategies.

Additional Skills:

Build and maintain complex MMM models to assess the incremental impact of different media channels (TV, digital, print) on sales, considering factors like seasonality and competition.

Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.

If this sounds like the role for you then please apply to our retained recruiters, Datatech Analytics, today!