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An innovative firm is on a mission to transform business operations through AI and data integration. They seek a Senior Data Scientist to develop cutting-edge AI solutions that enhance operational efficiency and drive impactful business insights. In this role, you will lead complex data science projects, collaborate with cross-functional teams, and mentor junior members. With a focus on integrating AI into practical applications, this position offers a unique opportunity to work at the forefront of technology in a supportive and dynamic environment, ensuring your contributions make a real impact.
3 weeks ago Be among the first 25 applicants
Backed by leading global VCs and founded by executives with experience at companies like Revolut and Trade Republic, our client is on a mission to revolutionise business operations. They are addressing the challenges of fragmented tools and disconnected workflows by unifying data and coordinating human and AI agents.
They are building an operating system to orchestrate work across all tools and company functions. By understanding human decision-making and actions, their system aims to enhance effectiveness, enabling individuals to focus on problem-solving rather than tool management.
Our client is seeking a highly skilled and experienced Senior Data Scientist to join their innovative team. The ideal candidate will have a strong grasp of data science methodologies and machine learning techniques, with a proven ability to drive impactful business solutions through data insights.
As a Data Scientist, you will be instrumental in developing cutting-edge AI solutions and designing systems that integrate AI into practical business applications. This includes a focus on agentic applications for information and data retrieval, summarization, process mining, and automation. You will also develop and refine quantitative frameworks and methodologies, exploring the integration of their core platform with generative AI products. This involves evaluating various product integrations, such as embedding AI capabilities into internal portals or third-party B2B SaaS platforms like Jira. Furthermore, you will analyse how diverse data types, unstructured documents, structured datasets, and external sources can be effectively combined. You will also study knowledge workers in specialised fields like engineering and support, identifying how their customers can best leverage the expanding ecosystem of AI agents to achieve maximum value.
Responsibilities:
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