Data Scientist: AI Matching & Talent Intelligence

Orbis Group; City Of London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Orbis Group is seeking a Data Scientist to join the Product & Engineering team in the UK, focusing on ML models powering matching, recommendations and talent intelligence products. You will tackle real-world ML problems, combining LLM and embedding techniques with traditional models, owning models from research to production.

The role involves building and evaluating ranking, search and matching systems, and collaborating with product teams to ship customer-facing features.

Qualifications

• 3+ years' experience in Data Science / ML.
• Strong experience with recommender systems, search, ranking or matching.
• Understanding of learning-to-rank, scoring models, embeddings.

Responsibilities

• Build and improve matching and recommendation models.
• Candidate-to-job matching, ranking and internal mobility recommendations.
• Work with LLMs, Transformers and embedding models.
• Design evaluation frameworks, golden datasets and quality metrics.
• Run experiments using human feedback and LLM-as-a-judge.
• Write high-quality Python and AI coding agents into your workflow.
• Collaborate with Product and Engineering to deploy research to customer features.

Skills

Data Science

Machine Learning

Recommender Systems

Python

Tools

Python

TensorFlow

PyTorch

Job description

Orbis Group is seeking a Data Scientist to join the Product & Engineering team in the UK, focusing on ML models powering matching, recommendations and talent intelligence products. You will tackle real-world ML problems, combining LLM and embedding techniques with traditional models, owning models from research to production.

The role involves building and evaluating ranking, search and matching systems, and collaborating with product teams to ship customer-facing features.