Senior Data Scientist

Beamery

. Build, improve and own matching and recommendation models, including candidate-to-job matching and internal mobility recommendations .

Posted 10/18/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and improving matching and recommendation models, with a strong foundation in NLP and GenAI. Proficient in Python software development and evaluation metrics, capable of collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Recommender SystemsNatural Language ProcessingPython Software DevelopmentEvaluation MetricsCI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Matching ModelsRecommendation ModelsQuality MetricsTransformersEmbeddingsAUCNDCGPrecisionRecallAgentic Coding

Soft Skills

CollaborationProblem-SolvingCommunicationAdaptability

Tools & Technologies

Claude CodeCodexLLM-as-a-Judge

Certifications & Qualifications

Master's DegreePhD

Industry Keywords

AI StartupHR TechTalent AcquisitionWorkforce Data

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build, improve and own matching and recommendation models, including candidate-to-job matching and internal mobility recommendations
Build golden datasets from recruiter and user decisions
Define quality metrics and design and run robust scientific experiments
Track and report technical and business metrics using LLM-as-a-judge and human feedback
Communicate results and metrics clearly to product teams
Write clean, tested Python code using AI coding agents such as Claude Code or Codex
Review code from peers and AI agents
Follow recent research in LLMs, embeddings, recommender systems, explainability and model evaluation
Bring relevant research ideas into the product roadmap
Document work and present it to product, engineering and business stakeholders
Contribute to research visibility through challenges, conferences and publications
Advise product teams on implementing AI features with an evaluation-first mindset

Requirements

What you’ll need

Minimum of 2–4 years of experience as a Data Scientist, Senior Data Scientist, or similar role in an AI startup or AI team
Strong experience with recommender systems, search, ranking or matching
Fluency in evaluation, including datasets, quality metrics such as AUC, NDCG, precision and recall, LLM-as-a-judge and human feedback
Strong foundation in NLP and GenAI, including Transformers, LLMs and embedding models
High-quality Python software development skills, including clean design, testing, packaging and maintainable code
Practical knowledge of CI/CD
Hands-on experience with agentic coding and ability to assess AI-generated code
Ability to simplify complex problems and work with ambiguity
Ability to collaborate with data scientists, engineers, product managers and business stakeholders
Master's degree or PhD, or equivalent experience, in Computer Science, Data Science, Mathematics or a related field
Experience with explainable or conversational recommendations is nice to have
Experience in HR Tech, talent acquisition or workforce data is nice to have
Publications, open-source contributions or strong ML challenge results are nice to have
Must have authorization to work in the UK without employer sponsorship

Benefits

Comp & perks

The chance to own core AI models used by forward-thinking organisations
Team that publishes, competes and is recognised in the research community while shipping real products
Work with the latest AI technologies and tools, including AI coding agents
Close collaboration with experienced data scientists, QA, platform and product engineers
Inclusive, equitable and engaging work environment
Reasonable adjustments and adaptations to the recruitment process