Data Scientist
Core
Design and implement AI and machine learning solutions to enhance HR and commercial decision-making, including LLM-powered applications, semantic search, pricing analytics, and executive reporting.
Role type
Mid-level machine learning engineer (HR & commercial analytics)
Builds
LLM-powered applications, intelligent automation pipelines, pricing models, anomaly detection systems, and executive dashboards
Domain
Human Resources, Commercial Strategy, Cloud-based Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Databricks, MLflow, Power BI, Machine Learning, NLP, Semantic Search, Statistical Modelling, Git
Preferred skills
Azure AI Services, Generative AI frameworks, PySpark, Customer Analytics, Pricing Optimisation Models
Technologies
Databricks, MLflow, Power BI, Azure AI Services, PySpark, Git
Responsibilities
Design and implement LLM-powered solutions for HR and commercial use cases; Develop intelligent automation for CV ingestion and candidate matching; Train, deploy, and manage ML models; Develop advanced pricing and discount analytics models; Build AI-driven survey analytics applications; Develop Power BI dashboards and executive-ready business insights
Seniority
Mid-level, hands-on IC
