Senior Data Scientist – Flutter Functions

Role Overview

• Develop sophisticated forecasting models for workforce trends, technology adoption patterns, and strategic scenario planning using advanced statistical techniques and machine learning algorithms
• Build custom predictive systems that anticipate skills gaps, technology investment opportunities, and competitive threats through analysis of complex, multi-source datasets
• Create strategic simulation models that enable technology leadership to evaluate different investment scenarios and understand potential outcomes of strategic decisions
• Design and implement RAG architectures using vector databases, embeddings optimization, and retrieval tuning to enhance strategic intelligence generation from organizational knowledge bases
• Fine-tune and customize AI models for specific strategic intelligence use cases, including synthetic data generation, model alignment, and performance optimization for business applications
• Build automated AI workflows using orchestration tools that extract insights, summarize content, and automate repetitive intelligence tasks while maintaining quality and reliability standards
• Architect end-to-end data science solutions that integrate traditional analytics with modern AI capabilities to deliver comprehensive strategic intelligence to technology leadership
• Develop MLOps pipelines for model monitoring, versioning, and deployment ensuring reliable, scalable AI systems that meet enterprise standards for strategic decision support
• Create evaluation frameworks for AI-generated insights including automated assessment and human-in-the-loop validation to ensure accuracy and strategic relevance

Requirements

• PhD or Masters in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field with 4-6 years relevant experience
• Production AI/ML experience including deployment of machine learning models in business environments with demonstrated impact on strategic decision-making
• Advanced statistical modelling expertise with experience in forecasting, simulation techniques, and trend prediction for complex business challenges
• Modern AI/LLM engineering experience including RAG implementation, model fine-tuning, and building AI-powered business applications
• Strategic consulting experience or equivalent background working with senior stakeholders to translate technical analysis into business strategy
• Cloud platform proficiency with AWS, Azure, or GCP including ML services, data pipelines, and scalable system architecture

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform

Benefits

• Hybrid & remote working options
• €1,000 per year for self-development
• Company share scheme
• 25 days of annual leave per year
• 20 days per year to work abroad
• 5 personal days/year
• Flexible benefits: travel, sports, hobbies
• Extended health, dental and travel insurances
• Customized well-being programmes
• Career growth sessions
• Thousands of online courses through Udemy
• A variety of engaging office events