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Principal Data Scientist - Job Opportunity at Xerxes Global

Dublin, Ireland
Full-time
Senior
Posted: April 27, 2025
On-site
EUR 120,000 - 160,000 annually based on Dublin market rates for principal data scientist roles in fintech

Key Responsibilities

Lead development of advanced ML and AI software modules for fintech applications
Drive strategic data analysis initiatives working directly with senior executives
Design and implement production-grade machine learning solutions
Establish data science frameworks and standards for enterprise-wide adoption
Provide technical leadership in complex modeling and analytics projects

Requirements

Education

Bachelor's degree in Data Science, Computer Science, Engineering, Math, Statistics, Physics or related field + Masters in Machine Learning or Data Science

Experience

7+ years of working experience in applying ML, Statistics, or AI

Required Skills

Time-Series Modelling Optimisation Pricing Deep Neural Networks Natural Language Processing (NLP) Retrieval Augmented Generation (RAG) Python PySpark SQL Git Azure DevOps
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Sauge AI Market Intelligence

Industry Trends

The convergence of AI and fintech is creating unprecedented demand for data scientists who can bridge the gap between theoretical ML and practical financial applications RAG applications are becoming increasingly critical in financial services, indicating a shift toward more sophisticated document processing and knowledge management systems The emphasis on production-grade ML systems reflects the industry's evolution from experimental AI to robust, scalable solutions

Role Significance

Typically leads a team of 4-8 data scientists and collaborates with a broader technical team of 15-20 members
Principal level position with significant technical leadership and strategic influence, likely reporting to Chief Technology Officer or Head of AI

Key Projects

Development of automated M&A analysis platforms Implementation of advanced financial modeling systems Creation of enterprise-wide data science frameworks Design of production ML pipelines for financial applications

Success Factors

Ability to translate complex financial concepts into practical ML solutions Strong leadership skills in guiding technical teams while interfacing with business stakeholders Deep understanding of both theoretical ML concepts and practical implementation challenges Experience in scaling ML solutions in regulated financial environments

Market Demand

Very High - The combination of fintech expertise and advanced AI capabilities is increasingly rare and valuable, particularly in the European market

Important Skills

Critical Skills

Production ML deployment experience - Essential for transitioning from proof-of-concept to scalable solutions RAG and NLP expertise - Critical for handling complex financial documents and unstructured data Time-series modeling - Fundamental for financial forecasting and trend analysis

Beneficial Skills

Cloud architecture knowledge for scaling ML solutions Financial domain expertise Agile development methodologies Regulatory compliance understanding

Unique Aspects

Rare combination of product development and consulting services requires versatile leadership
Direct exposure to senior financial executives provides unique strategic insights
Opportunity to shape AI implementation in complex financial operations

Career Growth

2-3 years in role before progression to executive level, depending on company growth and project success

Potential Next Roles

Chief Data Scientist Head of AI Technical Director VP of Data Science

Company Overview

Xerxes Global

Xerxes Global (XGS.ai) is positioning itself as a next-generation fintech provider focusing on AI-driven M&A solutions

Emerging player in the AI-powered financial services sector with strong growth trajectory
Strategic Dublin location suggests focus on European market expansion while maintaining global operations
Fast-paced startup environment with enterprise-level aspirations, emphasizing innovation and technical excellence
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