Data Scientist, Early Career (UK)

• Develop and deploy predictive models and machine learning algorithms that power the core logic of our production AI agents

• Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability

• Perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation

• Monitor model performance and provide technical support during critical product iteration cycles

Required

• Recent graduate or entry-level professional (0-2 years of experience) with a degree in Data Science, Computer Science, Statistics, or a related quantitative field

• Strong programming skills in Python and proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn

• Practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs

• Excellent communication skills with the ability to articulate technical methodology and complex modeling results to the broader team

Preferred

• Previous internship or research experience focused on Natural Language Processing (NLP), autonomous agents, or recommendation systems

• Experience building and maintaining data pipelines and working with cloud infrastructure (AWS/GCP/Azure)

• Strong technical foundation in SQL and database management for efficient data extraction and feature engineering