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.

Requirements

Key Responsibilities

AI & Machine Learning 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.

Advanced Analytics

• 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.

Data Engineering & Governance

• Ensure pipelines are optimised, sustainable, and easy to debug.

• Implement data quality checks and governance processes.

• Monitor and improve operational analytics processes.

Reporting & Visualisation

• Develop Power BI dashboards and executive-ready business insights.

• Translate complex datasets into strategic recommendations.

Development & Collaboration

• 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.

Minimum Requirements

Qualifications

• Degree in:

  • Data Science

  • Computer Science

  • Statistics

  • Mathematics

  • Engineering

  • or related field

Experience

• 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.

Technical Skills

• Python

• SQL

• Databricks

• MLflow

• Power BI

• Machine Learning

• NLP / Semantic Search

• LLM Applications

• Git / Version Control

• API Monitoring

• Statistical Modelling

• Data Analytics & Reporting

Advantageous Skills

• Azure AI Services

• Generative AI frameworks

• PySpark

• Customer Analytics

• Pricing Optimisation Models

• Cloud-based analytics platforms

Soft Skills

• 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