Lorien are currently working with a leading organisation that services academic & global institutes, R&D, health and medical sector.

We are supporting them in the recruitment of a Principal Data Scientist that will play a key role in driving the development of fast-paced experimental projects and Proof of Concepts (PoCs).

You will collaborate with multiple internal teams and external stakeholders to refine business strategies through innovative data science solutions. This role is integral to the success of cross-functional teams focused on shaping the future of technology solutions.

Responsibilities:

• Work closely with internal teams across the organization to assess current data science and technology capabilities. Partner with business units to understand their strategic objectives and identify opportunities for innovation.
• Lead the hands-on development of PoCs and experimental initiatives using a variety of technologies and advanced data science techniques. Form agile, cross-functional teams to rapidly validate concepts with end-users and refine strategies.
• Serve as a subject matter expert in the field of Data Science and Advanced Technologies, including AI, Machine Learning, and GenAI. Keep the team updated on the latest industry trends and advancements. Present findings to senior leadership and at company-wide events.
• Cultivate relationships with key stakeholders within client organizations, particularly in regulated industries. Identify challenges and opportunities within their technology ecosystems and provide expert insights on trends and solutions.
• Assist in transitioning successful PoCs and experimental projects into production-ready solutions. Encourage and support cross-functional teams to accelerate time-to-market for impactful innovations.
• Contribute to the creation and evolution of strategic technology roadmaps. Help guide the technology vision for the business and support the execution of key initiatives.

Experience:

• A solid engineering background, with deep expertise in AI/ML technologies.
• Practical experience in developing and supporting production systems as either a software developer or data scientist.
• Proven leadership experience in managing teams to deliver complex, high-impact solutions, particularly across international and distributed teams.
• Demonstrated success in implementing and integrating advanced data science technologies, including AI/ML and GenAI, into production environments.
• Strong cross-functional communication skills, including stakeholder management and the ability to present technical insights at the executive level
• Proficiency in Python and experience with additional languages and technologies such as Java, LangGraph, knowledge graphs, vector search, and no/low-code frameworks.
• Familiarity with cloud platforms and tools such as AWS Sagemaker, Databricks, Snowflake, or similar.

The role is based on a hybrid basis at their Central London office.