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

Datatech Analytics; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A dynamic analytics firm in London is seeking a Senior Data Scientist to join their team. In this hybrid role, you'll analyze consumer behavior data, apply econometric techniques, and share insights to enhance media strategies. The position offers a competitive salary up to £90,000 plus stock options, and requires proficiency in Python, R, and SQL. Candidates must have full UK working rights.

Qualifications

• Proficient in programming languages like Python, R, and SQL.
• Experience with statistical modelling and visualisation libraries.
• Understanding of media landscape and industry KPIs.

Responsibilities

• Collect, clean, and prepare datasets for analysis.
• Utilise econometric techniques like regression analysis.
• Evaluate model accuracy and share insights with stakeholders.
• Provide data-driven insights for media buying strategies.
• Explore machine learning techniques for deeper insights.

Skills

Python

R

SQL

Data Cleaning

Statistical Analysis

Machine Learning

Communication Skills

Job description

Overview

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.

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.
• 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.

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.
• Econometrics Background Useful: 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: Marketing Mix Modelling (MMM): 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.
• Campaign Optimisation: 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!