Data Scientist

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

I'm working with an exciting AI business that's building the technology behind how some of the world's largest organisations understand jobs, skills and talent.

They're looking for a Data Scientist to join their Product & Engineering team, working on AI models that power matching, recommendations and talent intelligence products.

This is a great opportunity to work on real-world ML problems, combining the latest LLM and embedding techniques with traditional machine learning, while having ownership of models that make it into production.

What you’ll be working on:

• Building and improving matching and recommendation models
• Candidate-to-job matching, ranking and internal mobility recommendations
• Working with LLMs, Transformers and embedding models
• Designing evaluation frameworks, golden datasets and quality metrics
• Running experiments using human feedback and LLM-as-a-judge
• Writing high-quality Python and using AI coding agents as part of your workflow
• Working closely with Product and Engineering to bring research into real customer-facing features

What they're looking for:

• 3+ years' experience in Data Science / Machine Learning
• Strong experience with recommender systems, search, ranking or matching
• Understanding of learning-to-rank, scoring models, gradient boosted trees and embeddingsI think the list is truncated. The data. We can't proceed. |