Über
Are you a Data Scientist who wants their work to genuinely matter?
We're partnering with a fast-growing, global SaaS business whose products are used by thousands of organisations to improve real-world outcomes at scale. This is a chance to join a highly collaborative Analytics & Insights function where data science directly shapes products, strategy, and decision-making.
In this role, you'll work end-to-end - from building robust data pipelines through to deploying predictive models that drive measurable impact. You'll collaborate closely with Product, Engineering, and domain experts, translating complex problems into scalable, data-driven solutions.
What you'll be doing Building and deploying statistical and machine learning models to support forecasting, prediction, and optimisation Designing scalable data pipelines using modern tooling to turn complex data into actionable insights Running experiments and hypothesis testing to measure product impact and improve outcomes Partnering cross-functionally to solve high-value business and customer problems Ensuring data quality, reliability, and performance through monitoring and validation What we're looking for
Commercial experience in Data Science or Applied Analytics (SaaS experience a plus) Strong foundations in statistics and machine learning Hands-on experience with Python and SQL Exposure to cloud or distributed data environments (AWS, GCP, Azure, Spark, etc.) Someone who enjoys working across teams and seeing their work used in production Why apply?
Hybrid working with flexibility Salary up to
$140,000 base
plus a strong benefits package Work on meaningful, real-world problems at scale High visibility role with genuine influence over product and strategy Collaborative, mission-driven culture with strong technical peers
If you're looking for a role where your models don't sit on a shelf - this is worth a conversation.
Sprachkenntnisse
- English
Hinweis für Nutzer
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