Staff Data Scientist
Up to 95,000
London (Hybrid/Remote)
Company:
This Software scale-up enables researchers across academia to collect high-quality human-powered data at scale enabling. They are utilising the latest advancements across Gen AI and LLMs to make it quicker and easier to secure data from a diverse global community.
Responsibilities:
- Lead the conceptualization and planning of data science initiatives that align with and drive key business objectives.
- Spearhead the development and implementation of sophisticated data models and algorithms, diving into hands-on coding for the most critical components
- Guide the technical direction of the team through thoughtful code reviews and targeted mentorship, fostering a culture of excellence and continuous improvement.
- Collaborate closely with product managers to identify opportunities where data science can drive product innovation and user value.
- Partner with data engineers to enhance data pipelines, logging systems, and MLOps practices, creating a robust foundation for advanced analytics and modelling.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
- Have a track record of successfully leading complex data science initiatives that deliver tangible business value.
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.
Keywords:
Machine Learning, Data Science, Survey, Analytics, Search, Ranking, MLOps, Data Scientist, LLMs, Large Language Models
