Lead Data Scientist

Lead Data Scientist - Contractor Position - Daily Rates - Hybrid-Working Model

Excellent contractor position has just opened with a global company to work within their Data & Analytics Engineering team.

Candidates must be based in Ireland and have full working rights.

High Level Job Responsibilities:

• Apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling.
• Utilize multiple sources of data, including structured and unstructured data, along with broad range of machine learning techniques to improve insights of the models.
• Support the development of new modeling techniques and procedures.
• Develop and maintain high-quality, robust predictive models and AI solutions using advanced analytic techniques
• Extract and analyze internal and external data sources to help answer key business problems related to risk assessment.
• Interpret data and ML models outputs and provide clear actionable insights and recommendations.

Key Skills:

• Strong knowledge of statistical and data science techniques, including machine learning, data visualization, A/B testing, and experience with databases
• Proficiency in a broad range of data science programming languages, applications and data environments (e.g., Python, R, SQL)
• Experience with machine learning framework and libraries
• Commitment to data compliance, model governance and security protocols
• Strong business acumen to understand why and how the work we do will impact our business stakeholders
• Strong problem-solving skills and effective communication, with an ability to explain technical concepts to a non-technical audience
• BS/MS/PhD in a statistical, mathematical, or technical field (e.g., computer science, actuarial science)
• 5+ years of experience in developing and implementing data science techniques

Desirable:

• Demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process.
• Familiarity with MLOps practices, including model deployment, monitoring, and lifecycle management.

** Live Role - Apply for immediate consideration **

If you are interested in this position please apply for contact [email protected] in strictest confidence.