Data Scientist, Early Career (UK)

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. The Data Scientist will develop predictive models, optimize machine learning algorithms, and analyze user interaction data to enhance product performance. Why Join Us • Build real, production AI agents used by real users • High ownership and impact • Work at the intersection of AI, agents, and product • Shape how people experience AI-driven job search Responsibilities • 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 Qualification 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