We’re partnering with an ambitious organisation building a next-generation AI-driven intelligence platform used in high-stakes decision environments. They’re looking for a Staff Data Scientist to take ownership of core ML capabilities and help bring sophisticated AI systems into real production at scale.
This is a rare opportunity to join as a foundational technical leader — shaping the data science discipline while staying deeply hands-on.
What you’ll focus on:
Designing and deploying classification & scoring models used in real-world decision workflows
Building robust entity resolution / record linkage systems across complex, messy datasets
Applying NLP techniques including entity recognition and entity linking
Shipping AI/ML systems into production with strong evaluation, monitoring, and governance
Partnering closely with product and engineering to turn experiments into reliable SaaS features
What we’re looking for:
Proven experience building ML/AI systems that run in production
Deep expertise in classification, ranking, or scoring models
Strong background in entity resolution / entity matching at scale
Experience with NLP pipelines (NER, entity linking, text analytics)
Ability to design evaluation frameworks, datasets, and model monitoring
Comfortable operating as a senior individual contributor with leadership impact
Why this role stands out
Founding data science hire with real technical ownership
Opportunity to shape core AI capabilities from the ground up
High-impact problems involving multi-source data, NLP, and explainable ML
If you’ve built production-grade AI systems and want to define the technical direction of a new platform, please apply!!
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