Senior Data Scientist - MTA/Marketing Mix Modelling

JR United Kingdom; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

An established industry player is seeking an experienced Data Scientist to join their innovative team. This role focuses on leveraging econometric methodologies and MTA modelling to assess marketing effectiveness and provide strategic recommendations. As part of a dynamic environment, you will oversee data collection and analysis, utilizing tools like SQL and Python to transform data into actionable insights. If you have a strong quantitative background and a passion for the retail or luxury sector, this opportunity offers the chance to make a significant impact within a leading global company specializing in premium lifestyle products.

Qualifications

• 5+ years of experience in Data Science with expertise in SQL and Python.
• Experience in MTA/MMM modelling and translating analytics into insights.

Responsibilities

• Leverage econometric methodologies to assess marketing effectiveness.
• Build MTA models to analyze operations and drive insights.

Skills

Data Science

MTA/MMM Modelling

SQL

Python

R

Excel

Education

Advanced degree in a quantitative field

Tools

Snowflake

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Freshminds

Location:

london, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

4

Posted:

05.05.2025

Expiry Date:

19.06.2025

col-wide

Job Description:

About the job

Our client is a leading global company specializing in premium lifestyle products across various categories, including apparel, accessories, and home. They are currently seeking an experienced Data Scientist with specific marketing modelling to join their team.

Responsibilities:

• Leverage econometric and MTA methodologies to assess marketing effectiveness and provide strategic recommendations
• Oversee data collection, including extraction, manipulation, analysis, and validation, ensuring proper use of KPIs in modelling.
• Build MTA models to analyse operations and drive actionable insights.
• Utilise Excel, SQL, and Python to process, transform, and create models, while presenting findings to stakeholders at all levels.

Requirements:

• 5+ years of experience in Data Science, with expertise in Snowflake, SQL, Python, and R.
• Demonstrable MTA/MMM modelling experience.
• Strong understanding of customer journeys from a quantitative perspective and experience in Data Science.
• Proven ability to translate complex analytics into actionable insights, with experience in retail or luxury retail preferred.
• Advanced degree in a quantitative field, with the ability to manage multiple stakeholders in a fast-paced environment.

Details:

• Duration: 12 months, with opportunity to extend.