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Data Scientist - Marketing

Harnham

Greater London

Hybrid

GBP 50,000 - 75,000

Full time

Today

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Job summary

Join a high-performing data team as a Data Scientist in London, where you'll tackle diverse data science challenges from prototyping to deploying machine learning solutions. Ideal for those with strong technical foundations looking to make a significant impact. This hybrid role offers the opportunity to grow quickly in a collaborative environment.

Qualifications

1–4 years’ experience delivering ML solutions in production.
Ability to work independently and manage priorities.

Responsibilities

Build and deploy machine learning solutions end-to-end.
Prototype and test new ideas that solve real business problems.
Communicate clearly with both technical and non-technical audiences.

Skills

Python

SQL

Communication

AWS

Git

Education

Degree in a STEM field

Tools

CI/CD pipelines

MLOps tools

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Managing Consultant - AI, Deep Learning and Robotics at Harnham

DATA SCIENTIST – HYBRID (London, 3 days a week)

£50,000–£75,000 based on experience

THE COMPANY

An opportunity to join a high-performing data team at a global marketing and customer experience company. You’ll work across a variety of data science challenges — from prototyping ideas to deploying full-scale ML solutions — in a fast-paced, collaborative environment.

This role is ideal for someone with strong technical foundations and a generalist mindset, looking to grow quickly and make a tangible impact across major client projects.

THE ROLE

As a Data Scientist, you will:

Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS)
Prototype and test new ideas that solve real business problems or spark client innovation
Take ownership of workstreams within larger projects, with opportunities to lead as you grow
Work across the stack — from APIs and infrastructure to model tuning and validation
Communicate clearly with both technical and non-technical audiences
Bring curiosity, pace, and clarity to everything you do

YOUR SKILLS AND EXPERIENCE

Must-Have:

Degree in a STEM field or equivalent hands-on experience
1–4 years’ experience delivering ML solutions in production, ideally in fast-moving teams or startups
Strong Python and SQL skills; experience building and deploying models end-to-end
Familiarity with AWS (or similar), Git, and CI/CD pipelines
Ability to work independently and manage priorities in a high-velocity environment
Excellent communication and documentation under pressure

Nice-to-Have:

Experience with marketing data or customer-level models (e.g. uplift, attribution, causal inference, campaign optimization)
Familiarity with MLOps tools (e.g. MLflow, FastAPI, Airflow)
Exposure to A/B testing and experimentation frameworks

WHY THIS ROLE IS DIFFERENT

This isn’t a narrow data science role — you won’t just tune models or clean data. You’ll do it all, with support where needed and freedom to explore. It’s the perfect step for someone who wants to move fast, own their growth, and help shape impactful AI solutions in a cross-disciplinary setting.

HOW TO APPLY

Interested? Apply via the link on this page with your CV.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Industries
Marketing Services and Technology, Information and Media

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