Hybrid Data Scientist — Talent Matching & Optimization

Peregrine; Sheffield; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

Peregrine is seeking a Data Scientist to design and deploy a proprietary Skills Matching Index. You will build models that match employees with live vacancies and identify long-term skill gaps across the organization.

The role emphasizes semantic matching, geographic considerations, and cost-aware deployment to optimize workforce utilization. Collaboration with data analysts and senior leadership is essential.

Qualifications

• 2–4 years of experience as a Data Scientist, ML Engineer, or Quantitative Analyst.
• Experience with recommendation algorithms, NLP, or People Analytics is a major plus.
• Strong Python proficiency with ML libraries and NLP frameworks.

Responsibilities

• Design and deploy a proprietary Skills Matching Index.
• Build recommendation models to match employees with vacancies and skill gaps.
• Model evaluation, fairness, and drift monitoring in collaboration with the Data Analyst.
• Present model insights to senior management with transparent rationale.

Skills

Python

Machine Learning

NLP

Statistics

Data Visualization

Education

Bachelor's degree in a related field

Tools

scikit-learn

SciPy

statsmodels

spaCy

HuggingFace

Plotly

Seaborn

Job description

Peregrine is seeking a Data Scientist to design and deploy a proprietary Skills Matching Index. You will build models that match employees with live vacancies and identify long-term skill gaps across the organization.

The role emphasizes semantic matching, geographic considerations, and cost-aware deployment to optimize workforce utilization. Collaboration with data analysts and senior leadership is essential.