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.

Requirements

Key Responsibilities

AI & Machine Learning Solutions

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

Advanced Analytics

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

Data Engineering & Governance

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

Reporting & Visualisation

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

Development & Collaboration

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

Minimum Requirements

Qualifications

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

Experience

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

Technical Skills

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

Advantageous Skills

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

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