Senior Data Scientist - Consumer Behaviour - exciting scale up proposition

Guaranteed Tenants Ltd; City of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A data analytics company in London is seeking a Senior Data Scientist to enhance their consumer data analytics. The role involves data cleaning, statistical analysis, and model validation. Ideal candidates will have proficiency in Python, R, and SQL, as well as experience in econometrics. This position offers a hybrid work model with a competitive salary of up to £90,000 plus stock options.

Qualifications

• Proven experience in data science with focus on consumer behaviour and media analytics.
• Experience in regression, time series, and panel data analysis.
• Ability to translate data insights for stakeholders.

Responsibilities

• Collect, clean, and prepare large media datasets for analysis.
• Utilise econometric techniques to identify relationships between media spend and outcomes.
• Evaluate the accuracy and robustness of models and communicate findings.

Skills

Proficient in Python

Proficient in R

Proficient in SQL

Strong statistical modelling

Data visualization skills

Econometrics background

Understanding of media metrics

Strong communication skills

Business acumen

Job description

Overview

Senior Data Scientist - Consumer Behaviour - exciting scale up proposition — role at Guaranteed Tenants Ltd.

Meas ure 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.

Note: This description contains notes about Measure Protocol and related details. If this role is with another client, please follow the client-specific requirements in the original posting.

About Measure

Measure is building the world’s first ethical and transparent human data marketplace. The company aims to change how data is managed and monetised, with more control for individuals and better data-supported decisions. Measure has raised investments from venture capital and strategic firms and works with leading brands to provide access to consumer behavioural data.

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 clearly.
• Campaign Optimisation: 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.
• Data Science – Your Experience and Skills: Proficient in Python, R, and SQL with data manipulation, imputation, statistical modelling, and visualization.
• Econometrics Background (Useful): 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 Skills: 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: Marketing Mix Modelling (MMM): build and maintain MMM models to assess the incremental impact of media channels (TV, digital, print) Accounting for seasonality and competition.
• Campaign Optimisation (Repeated): Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.

Requirements / Qualifications

• Proven experience in data science with a focus on consumer behaviour and media analytics.
• Proficiency in Python, R, and SQL; strong statistical modelling and data visualization skills.
• Econometrics background with experience in regression, time series, and panel data analysis.
• Understanding of media metrics, ad formats, and performance measurement.
• Strong communication and business acumen to translate data insights for stakeholders.

Employment Details

• London office hybrid 3 days per week.
• Salary negotiable dependent on experience to £90,000 + stock options.
• Job Reference J12960.
• Please note this client is unable to offer sponsorship; ensure you have full UK working rights.

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

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