Junior Data Scientist

Location: London, United Kingdom

Salary: up to £50,000 per year

Company

hirify.global builds marketing measurement products for ecommerce brands, including attribution, marketing mix modelling, incrementality testing, and brand impact measurement.

What you will do

• Own moderately difficult tickets end to end, including analytical investigations, model backtesting, production bug fixes, and pipeline work.
• Systematically debug unfamiliar codebases, using AI tooling to accelerate investigation while maintaining full understanding of the solution.
• Write and review production Python and SQL code while avoiding technical debt and checking AI-assisted code for accuracy and bugs.
• Use AWS pipelines, cloud tooling, QA automation, and validation processes effectively.
• Communicate methodology and findings to clients and colleagues with limited senior support.
• Clarify acceptance criteria and requirements with other teams and become an internal data science champion.

Requirements

• 1–2 years of commercial data science experience, or a strong placement or internship record alongside a quantitative degree.
• Strong Python and SQL skills, with experience collaborating on shared code.
• Deep knowledge of a handful of machine learning algorithms and when to apply them.
• Ability to debug unfamiliar code systematically and use AI tooling responsibly, including quality assurance of its output.
• Ability to work independently once scope is agreed and communicate clearly with clients and colleagues.
• Strong attention to detail, critical thinking, problem solving, collaboration, and initiative.

Nice to have

• Experience with AWS or comparable cloud tooling.
• Familiarity with automated QA tooling and test coverage practices.
• Experience with marketing, ecommerce, or advertising data.
• Exposure to Bayesian methods, marketing mix modelling, or experimental design.

Culture & Benefits

• Published six-level Data Science Career Development Framework with explicit progression criteria.
• Structured development from the Developing level toward leading production projects and communicating as a modelling expert.
• Thorough code reviews and methodology critique.
• Direct impact on budget decisions through models used by recognised brands.
• Training provided in marketing mix modelling, attribution methodology, incrementality testing, and Bayesian modelling.