Senior MMM & Data Science Consultant | Strategy Lead

AVP; Greater London; Hybrid; GBP 60,000 - 70,000; Full time

Benefits offered by this job

Hybrid working (2 days in the office)

Private healthcare

Life insurance

Wellbeing support

Group pension scheme

International mobility opportunities

Job summary

Ekimetrics UK is seeking a Senior Consultant to lead Marketing Mix Modelling (MMM) and data science projects for global clients from London. You will translate insights into actionable marketing and revenue strategies, while mentoring junior team members and coordinating cross-disciplinary workstreams.

The role requires deep MMM knowledge, experience handling large data sets, and the ability to communicate complex concepts to both technical and non-technical stakeholders.

Qualifications

• MMM expertise across marketing mix modelling and analytics.
• Experience with large data sets and econometrics.
• Strong client-facing skills and account management.
• Proficiency in Python or R and MS Office suite.
• Degree in Economics, Econometrics, Maths/Statistics, or related field.
• Interest in fast-paced consultancy and clear communication.

Responsibilities

• Lead MMM projects and deliver insights to inform marketing strategy.
• Serve as project lead on global client accounts.
• Translate complex analyses into clear stories for technical and non-technical stakeholders.
• Manage end-to-end analytics projects and coordinate teams of 3–8 consultants.
• Collaborate with cross-functional teams to drive revenue and data strategy decisions.

Skills

MMM expertise

Data analysis

Client management

Clear communication

Education

Economics/Econometrics/Maths/Statistics degree

Tools

Python

R

Excel

Job description

Ekimetrics UK is seeking a Senior Consultant to lead Marketing Mix Modelling (MMM) and data science projects for global clients from London. You will translate insights into actionable marketing and revenue strategies, while mentoring junior team members and coordinating cross-disciplinary workstreams.

The role requires deep MMM knowledge, experience handling large data sets, and the ability to communicate complex concepts to both technical and non-technical stakeholders.