Data Scientist (ML)

3 hours, 33 minutes ago
Full-time
Mid Level
Data Science and Analytics
Nexus Mods

Nexus Mods

Nexus Mods, established in 2001, is the world's largest platform for video game modding, hosting over 500,000 files and serving a community of over 14 million members. With a repository of 400,000 mods for 2,000 games, Nexus Mods transforms gaming expe...

Internet Software & Services
11-50
Founded 2001

Description

  • Own the end-to-end mod classification pipeline at scale, from data labelling through to production deployment.
  • Transform raw mod data into structured, high-quality metadata that improves search, filtering, and personalisation.
  • Continuously improve model performance and data quality across classification workflows.
  • Build recommendation models to help users discover relevant mods faster.
  • Improve search relevance using behavioural signals and other unique platform datasets.
  • Use dependency graphs and similar signals to strengthen personalisation and discovery experiences.
  • Ship models and systems that have a direct impact on downloads, retention, and user activity.

Requirements

  • Experience as a Data Scientist or ML Engineer with a track record of shipping models to production.
  • Strong proficiency in Python and the core ML ecosystem, including scikit-learn, PyTorch, or similar tools.
  • Hands-on experience with NLP and text classification for unstructured descriptions and metadata.
  • Experience building recommendation systems or search relevance models.
  • Solid understanding of embeddings, similarity search, and operating them at scale.
  • Ability to scope and execute independently with strategic direction and high autonomy.
  • Pragmatic mindset focused on business impact, not just model accuracy.
  • Experience with LLMs for data labelling, seed set generation, or classification pipelines is a bonus.
  • Familiarity with dbt or analytics engineering workflows is a bonus.
  • Experience with A/B testing, causal inference, algorithmic design, optimisation, or reward modelling is a bonus.
  • Understanding of games modding or knowledge of Nexus Mods is a bonus.
  • A love of computer games is a bonus.

Benefits

  • A 4-day work week of 32 hours with no reduction in pay.
  • £25 per month allowance to spend on video games.
  • Employee Assistance Programme.
  • Private BUPA healthcare for you and your family.
  • A flexible training budget.
  • Regular social events throughout the year, with optional participation.

Interested in this position?

Apply directly on the company website

Apply Now

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