Data Scientist- Consumer Behaviour

Datatech Analytics; London; Hybrid; GBP 150,000 - 200,000

Job description

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!