Applied Scientist in City of Westminster

Applied Scientist in City of Westminster

City of Westminster Full-Time No working from home possible
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Overview

ASOS is seeking an Applied Scientist to join a Customer & Marketing focused machine learning team. In this role you will design, develop, and deploy models that inform marketing strategy and customer experience, working with large-scale customer and behavioural datasets. You will partner with engineers, product managers, and stakeholders to embed your solutions in production workflows and contribute to a data-driven experimentation culture.

Responsibilities

  • Design and develop machine learning and statistical models that drive marketing and customer decision making.
  • Lead causal projects such as attribution, incrementality, and marketing effectiveness.
  • Build and run experiments to evaluate models and inform product and business strategy.
  • Collaborate with engineers to deploy models into scalable, production environments.
  • Translate complex analytical outputs into clear, actionable insights for stakeholders.
  • Contribute to shared codebases, experimentation frameworks, and best practices.
  • Stay current with the latest developments in applied ML and statistics, and bring relevant ideas into the team.

Qualifications

  • Experience applying machine learning or statistical methods in a practical or production adjacent setting.
  • An interest in marketing-focused data science or machine learning problems (e.g., causal inference, incrementality, MMM).
  • Experience or interest in causal inference, Bayesian methods, or experimentation.
  • Proficiency in at least one programming language commonly used in machine learning, and familiarity with relevant frameworks.
  • A solid understanding of statistical concepts and software development best practices.
  • Ability to manage your work, collaborate with others, and deliver models or prototypes aligned with business needs.
  • Comfortable working with both technical and non‑technical stakeholders.
  • Interest in research and innovation; publications or conference contributions are welcome but not required.

Benefits

  • Employee discount.
  • Employee sample sales.
  • 25 days paid annual leave plus an extra celebration day for a special moment.
  • Private medical care scheme.
  • Fixed annual payment in addition to your salary each year.
  • Opportunity for personalised learning and in‑the‑moment experiences that enable you to thrive and excel in your role.
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