Consultant Media Mix Modelling R - FTC

Consultant Media Mix Modelling with R - 4 Month FTC

Department: Marketing Effectiveness
- Europe

Employment Type: Fixed Term
- Full Time

Location: UK

Our team helps clients measure the marketing effectiveness or ROI of their advertising investment.

Only candidates with a degree background in maths, statistics, economics or data science will be considered. At least 4+ years of experience personally or ‘hands‑on’ building Market Mix Models (MMM) is essential.

Ebiquity have an impressive roster of blue‑chip clients in retail, automotive, financial services and FMCG providing excellent career development opportunities for those wishing to apply their technical skills to real world problems.

• Deliver outstanding analytical projects for our customers based upon excellent data exploration, econometric analysis, and interpretation.
• Manage less experienced colleagues and graduates/analysts.
• Create concise, insightful customer communications (presentations, documentations, etc.).
• Automate and simplify data processing using existing tools and scripting tasks in R.
• Continually accumulate and develop marketing effectiveness knowledge and sector expertise.
• Take responsibility for keeping tasks on deadline and managing client stakeholders.
• Provide clarity in communicating results to clients both verbally and using Powerpoint.

• At least a 2.1 in one of the following degree (Maths, Statistics, Economics or Data Science).
• Coding skills in R.
• Competent with Excel, PowerPoint and Word.
• A strong desire to learn.
• Be able to communicate in a professional environment.
• Intellectually curious with an open mind, a self‑starter, genuinely interested in data.
• A team player, happy working in small groups.
• Applicants must be eligible to work in the UK.

We are a global fast-growing company which offers a variety of opportunities for you to develop your skill set and career.

Ebiquity aims to create a workplace that is open and supportive, and free of discrimination and prejudice. We want the best talent available, regardless of race, religion, gender, gender reassignment, sexual orientation, marital status, pregnancy, disability or age.