AVP: Cybersecurity Data Scientist | Strategic Analytics

State Street; Kilkenny; On-site; EUR 90,000 - 130,000; Full time

Job summary

State Street in Kilkenny, Ireland, seeks a GCS Data Scientist to advance enterprise cybersecurity analytics. You will apply statistical modelling, ML, graph analytics, NLP and GenAI to large security datasets to generate actionable insights and improve risk prioritization.

The role collaborates with security, engineering, governance and risk teams to translate needs into analytical solutions and to develop self-service Power BI dashboards in a regulated environment.

Qualifications

• 5-8 years of total professional experience in data science, analytics, machine learning, data engineering, or related technical roles.
• 2-4 years of experience applying data science, analytics, or machine learning techniques to cybersecurity, risk, fraud, infrastructure, identity, or similarly complex enterprise datasets.
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Cybersecurity, Information Systems, or equivalent practical experience.
• Strong hands-on experience with Python and SQL for analytical modeling, exploratory analysis, statistical evaluation, and data manipulation.
• Experience using PySpark and Databricks to process, analyze, and model large-scale datasets.
• Experience creating clear, actionable dashboards and visualizations using Power BI or similar business intelligence tools.
• Working knowledge of AWS data and analytics services or cloud-based analytical environments.
• Familiarity with SIEM/SOAR platforms and the security workflows they support, including alert enrichment, detection analytics, triage, response, and reporting.
• Experience with one or more advanced analytical methods such as graph analytics, NLP, GenAI, anomaly detection, classification, clustering, forecasting, or recommendation techniques.
• Strong written and verbal communication skills, including the ability to document analytical assumptions, model limitations, and recommended actions.

Responsibilities

• Develop statistical, machine-learning, and AI-driven models that identify patterns, anomalies, relationships, and risk signals across enterprise cybersecurity datasets.
• Analyze large structured, semi-structured, graph, time-series, and text-based security datasets using Python, SQL, PySpark, and Databricks.
• Design and deliver analytics that support threat detection, vulnerability prioritization, incident enrichment, cyber risk scoring, and security posture measurement.
• Apply graph analytics and network science techniques to uncover relationships among identities, assets, vulnerabilities, applications, alerts, events, and threat indicators.
• Use NLP and GenAI techniques to summarize, classify, enrich, and operationalize cybersecurity data such as alerts, tickets, logs, findings, playbooks, and investigation notes.
• Build reusable analytical datasets, features, notebooks, models, dashboards, and model-monitoring outputs that can scale across enterprise security use cases.
• Partner with cybersecurity analysts, data engineers, platform engineers, architects, risk teams, and product owners to translate business and security needs into analytical solutions.
• Create Power BI reports and self-service dashboards that communicate model outputs, cyber trends, operational performance, and risk insights to technical and non-technical audiences.
• Support responsible model development practices, including validation, performance monitoring, explainability, privacy, security, lineage, and documentation in a regulated environment.
• Continuously evaluate emerging analytics, ML, graph, NLP, GenAI, SIEM, SOAR, and cloud data capabilities for practical application to cybersecurity outcomes.

Skills

Python

SQL

PySpark

Databricks

Power BI

AWS

NLP

GenAI

Graph analytics

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Cybersecurity, Information Systems

Master's degree or advanced coursework in Data Science, Computer Science, Statistics, Applied Mathematics, Cybersecurity

Tools

Databricks

Power BI

Job description

State Street in Kilkenny, Ireland, seeks a GCS Data Scientist to advance enterprise cybersecurity analytics. You will apply statistical modelling, ML, graph analytics, NLP and GenAI to large security datasets to generate actionable insights and improve risk prioritization.

The role collaborates with security, engineering, governance and risk teams to translate needs into analytical solutions and to develop self-service Power BI dashboards in a regulated environment.