Senior Data Scientist: Marketing Attribution & MMM

Fospha; Greater London; On-site; GBP 75,000 - 110,000; Full time

Job summary

Fospha is seeking a Data Scientist in London to own production modelling across attribution, MMM, and incrementality. You will lead projects end to end, choosing methodologies and communicating results to clients and internal teams. You’ll work with a team that values high agency, rigorous QA, and strong analytics foundations.

You will mentor colleagues, continually expand your modelling toolkit, and collaborate across the data science stack to deliver impactful insights for ecommerce brands.

Qualifications

• 3–5 years of commercial data science experience with production models.
• Strong Python and SQL and ability to lead production-level code.
• Ability to debug across unfamiliar repositories and use AI judiciously.
• Strong ML knowledge and judgment to select the right approach.

Responsibilities

• Lead large production projects end to end, from scoping to shipping code.
• Choose modelling approaches within our suite across attribution/MMM/incrementality.
• Debug bugs and queries independently, including unfamiliar code.
• Use AI to accelerate development while ensuring quality.
• Work with QA and product teams, flag gaps, and improve tooling.
• Communicate confidently as the modelling expert with clients and colleagues.
• Mentor junior team members and help break down tickets.

Skills

Python

SQL

Production ML

Model selection

AI tooling

Communication with clients

Mentorship

Ownership

Tools

AWS

Job description

Fospha is seeking a Data Scientist in London to own production modelling across attribution, MMM, and incrementality. You will lead projects end to end, choosing methodologies and communicating results to clients and internal teams. You’ll work with a team that values high agency, rigorous QA, and strong analytics foundations.

You will mentor colleagues, continually expand your modelling toolkit, and collaborate across the data science stack to deliver impactful insights for ecommerce brands.