Data Scientist

Our client is looking for an innovative and commercially minded Data Scientist to design and implement AI and machine learning solutions that enhance HR and commercial decision-making.

The successful candidate will work across advanced analytics, LLM-powered applications, semantic search, pricing analytics, anomaly detection, automation, and executive reporting solutions within a modern cloud-based analytics environment.

This role combines AI innovation, machine learning engineering, analytics, and business intelligence to deliver impactful enterprise solutions.

• Design and implement LLM-powered solutions for HR and commercial use cases.
  
• Develop intelligent automation solutions for:
  
  • CV ingestion
    
  • Candidate-to-role matching
    
  • Semantic search capabilities
    
• Train, deploy, and manage ML models using MLflow.
  
• Analyse model performance and business impact.
  

• Develop advanced pricing and discount analytics models.
  
• Perform elasticity modelling and customer segmentation analysis.
  
• Conduct operations anomaly detection and proactive risk reporting.
  
• Build AI-driven survey analytics applications.
  

• Ensure pipelines are optimised, sustainable, and easy to debug.
  
• Implement data quality checks and governance processes.
  
• Monitor and improve operational analytics processes.
  

• Develop Power BI dashboards and executive-ready business insights.
  
• Translate complex datasets into strategic recommendations.
  

• Manage Git-based workflows including:
  
  • Pull requests
    
  • Branch syncing
    
  • Merge conflict resolution
    
• Collaborate with technical and business stakeholders across HR, operations, and commercial teams.
  
• Monitor APIs and data integrations where required.
  

• Degree in:
  
  • Data Science
    
  • Computer Science
    
  • Statistics
    
  • Mathematics
    
  • Engineering
    
  • or related field
    

• 3–5 years’ experience in Data Science or Machine Learning roles.
  
• Experience building AI/LLM-powered solutions.
  
• Hands-on experience with MLflow and Databricks.
  
• Strong analytical and statistical modelling experience.
  
• Experience with Power BI and data visualisation.
  
• Exposure to semantic search and NLP solutions advantageous.
  

• Python
  
• SQL
  
• Databricks
  
• MLflow
  
• Power BI
  
• Machine Learning
  
• NLP / Semantic Search
  
• LLM Applications
  
• Git / Version Control
  
• API Monitoring
  
• Statistical Modelling
  
• Data Analytics & Reporting
  

• Azure AI Services
  
• Generative AI frameworks
  
• PySpark
  
• Customer Analytics
  
• Pricing Optimisation Models
  
• Cloud-based analytics platforms
  

• Strong commercial acumen
  
• Excellent analytical thinking
  
• Strong communication and presentation skills
  
• Problem-solving mindset
  
• Ability to work in fast-paced environments
  
• Strong stakeholder engagement abilities