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You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe. You will work with stakeholders to convert business requirements into technical specifications; train LLMs from scratch on a large GPU cluster; collect and process pre-training and fine-tuning datasets; support and improve existing subsystems.
We're looking for a Senior Data Scientist to be the strategic anchor for a functional team. You won't just be building models; you'll be a key influencer who translates ambiguous business challenges into powerful, end-to-end ML solutions. Your mission is to take ownership of the data science lifecycle, delivering automated and augmented decisions that create a quantifiable impact on the business.
This role sits at the intersection of science, technology, and client delivery, translating complex analytical workflows into intelligent, scalable software solutions. You will collaborate with cross-functional teams to design, build, and optimize AI-enabled tools for meta-analysis. The ideal candidate will bring strong scientific understanding, product-thinking mindset, and experience implementing cloud-based AI infrastructure.
This role sits at the intersection of data analysis, machine learning operations (MLOps), and client insight delivery — combining technical depth with analytical storytelling. You’ll work end-to-end across the ML lifecycle: from data collection and cleaning, through model monitoring and deployment, to developing analytical dashboards that drive meaningful client insights. The role offers the perfect balance of impact and autonomy.
We're building a world-class financial product and need someone to help take our data operations to the next level. The team is growing fast, and we’re looking for a Predictive Modeller to join us. You understand the data-driven decision making needs of a high-growth organization and are focused on concrete outcomes and KPIs.
As a Data Scientist, you will convert in reality the business requirements related to our digital transformation where cloud technology is a key enabler. You will be working in the implementation of data MVPs as part of a Digital Builders Organization squad. You will collaborate with Business Units to have a deep understanding of the business problem that AI and Machine Learning may solve and provide technical expertise in the use cases execution.