Top Python Jobs in Dublin

Develop and enhance actuarial pricing and forecasting solutions for U.S. health insurance using statistical techniques, machine learning, AI, and large healthcare datasets. Responsibilities include dataset development, model validation, data quality assurance, reconciliation, predictive modeling, and collaboration with actuarial, data science, product, and engineering teams. The role also supports continued progress toward actuarial qualification through a structured development program.

Leads advanced healthcare analytics, data modeling, reporting, dashboard development, predictive analysis, and automation initiatives. Translates stakeholder requirements into SQL and Python-based analytical solutions, interprets healthcare cost and utilization trends, presents actionable insights to senior leaders, and mentors junior analysts. The role also oversees data governance, validation, documentation, process improvement, and delivery across multiple concurrent projects.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes governance, quality, lineage, observability, and security controls; optimizes large-scale processing; and guides technical strategy. Partners across risk, product, architecture, and engineering, mentors teams, influences stakeholders, supports compliance, and drives delivery across complex initiatives.

Lead the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL/ELT, streaming, and lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, security, observability, and operational standards. Provide technical leadership, mentor engineers, influence architecture and roadmaps, optimize workloads, and collaborate across product, risk, analytics, architecture, and business teams.

Leads the design and delivery of enterprise data platforms and pipelines supporting credit risk, decisioning, analytics, regulatory reporting, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and modern ETL/ELT patterns. Establishes data quality, governance, lineage, observability, security, and compliance capabilities; modernizes legacy platforms; optimizes large-scale workloads; and drives engineering standards. Partners cross-functionally, influences architecture and roadmaps, mentors engineers, resolves complex dependencies, and supports technical hiring.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, analytics, regulatory reporting, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes data quality, governance, lineage, observability, and security controls; modernizes legacy systems; optimizes large-scale processing; and mentors engineers while influencing cross-functional technical strategy.

Leads the design and implementation of enterprise data platforms, ETL/ELT pipelines, lakehouse architectures, and distributed processing systems supporting credit risk and analytics. Establishes data quality, governance, lineage, security, monitoring, and operational standards while modernizing legacy assets in the cloud. Partners with product, risk, architecture, and data science teams, mentors engineers, influences technical strategy, optimizes performance and cost, supports compliance, and drives complex cross-functional initiatives.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes data quality, governance, lineage, security, monitoring, and operational standards; modernizes legacy systems; optimizes large-scale processing; influences technical strategy; mentors engineers; and partners with cross-functional stakeholders to deliver resilient, compliant data products.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Builds scalable cloud-based ETL/ELT and streaming solutions using Databricks, Spark, Delta Lake, SQL, and Python. Establishes data quality, governance, lineage, security, monitoring, and operational excellence practices. Partners across risk, product, architecture, and engineering; influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Leads the design, development, and modernization of enterprise data platforms and pipelines supporting credit risk, analytics, regulatory reporting, and AI initiatives. Architects cloud-based ETL/ELT and streaming solutions using Databricks, Spark, Delta Lake, and related technologies. Establishes data quality, governance, lineage, security, monitoring, and operational standards while optimizing performance and cost. Partners with cross-functional stakeholders, influences architecture and roadmap decisions, mentors engineers, and drives delivery across complex initiatives.

Leads the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based ETL/ELT, lakehouse, streaming, governance, and data quality solutions; modernizes legacy assets; optimizes processing; and establishes engineering standards, testing, deployment, and operational practices. Partners across risk, product, architecture, and engineering, influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes governance, quality, lineage, observability, security, and compliance controls; optimizes large-scale workloads; and drives technical standards, cross-functional delivery, mentoring, and strategic roadmap planning.

Lead the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL and ELT solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, observability, security, and compliance controls. Drive modernization, performance optimization, technical standards, cross-functional delivery, architectural decisions, mentoring, talent assessment, and strategic roadmap planning.

Develop and maintain scalable data pipelines, integrations, transformations, data models, and quality controls using Snowflake, Airflow, Azure, SQL, and Python. Implement data masking, monitoring, automation, CI/CD, and ETL/ELT solutions while collaborating with architects, analysts, and data stewards. Support reliable data foundations for reporting, analytics, and machine learning, using Agile delivery practices and AI-assisted engineering tools.

Lead the technical vision, architecture, and roadmap for LLM and agentic AI systems across Rapid7’s cybersecurity products. Define model strategy, lead fine-tuning, post-training, evaluation, and inference optimization initiatives, and establish company-wide AI engineering standards. Remain hands-on with model, training, and inference code while mentoring senior technical talent, resolving complex trade-offs, and influencing product, platform, executive, and customer decisions.

Lead the technical direction, architecture, training, fine-tuning, evaluation, and scalable inference of LLM and agentic AI systems. Build hands-on model and inference solutions, optimize performance and cost, establish engineering standards and release evaluations, lead design reviews, mentor engineers, and guide cross-functional AI investments across cybersecurity products.

Analyzes pharmacy claims, pricing, and contract data to support reimbursement strategy and network pricing decisions. Builds and validates financial models, forecasts outcomes, investigates trends and variances, and translates complex analysis into recommendations for senior stakeholders. Partners with contracting, underwriting, finance, and operations teams while supporting reporting transformation, data stewardship, process improvement, automation, and AI-enabled analytics adoption.

Provides regional IT support across EMEA, troubleshooting endpoints, identity, networks, mobile devices, SaaS applications, and meeting-room AV systems. Manages hardware provisioning, onboarding, offboarding, asset recovery, ticket queues, SLAs, incident handoffs, and event support. Participates in on-call coverage and uses scripting, APIs, automation, and AI tools to reduce repetitive work. Requires strong communication, documentation, confidentiality, and coordination with global IT, security, network, AV, and facilities teams.

Build scalable AI-powered software solutions using ServiceNow AI capabilities, prompt engineering, and intelligent architectures. Translate business needs into user-friendly features across design, implementation, testing, and delivery. Develop JavaScript UI components, integrate automated testing into CI/CD, optimize performance, improve reliability and observability, and contribute to AI-enabled product enhancements. Collaborate across teams, participate in code reviews, and mentor colleagues on software craftsmanship and responsible AI integration.

Designs and operates cloud-native platforms for software validation, release readiness, production reliability, and developer self-service. Builds Kubernetes-based infrastructure, CI/CD and GitOps workflows, automated testing, observability, deployment verification, progressive delivery, resilience testing, and reliability controls. Resolves complex infrastructure and networking challenges, improves engineering productivity, mentors engineers, and partners across teams to deliver scalable, automation-first platform capabilities.

Build and deploy production-grade, LLM-enabled applications for strategic enterprise customers. Own backend services, data orchestration, front-end integrations, APIs, vector databases, and AI pipelines while working onsite with customers. Develop reusable libraries, prompts, SDKs, scaffolds, and documentation; integrate legacy systems; improve platform tooling; and provide product feedback. Deliver secure, scalable solutions in agile sprints and influence AI platform strategy.

Leads document analysis data science initiatives focused on NLP, information retrieval, AI architectures, OCR, and text analytics. Develops, optimizes, and productionizes scalable machine learning models, translates research into operational solutions, and provides technical direction to data scientists and AI engineers. The role also drives standardization, skills development, training, career progression, and collaboration across the data science organization.

Ten-week software engineering internship at MongoDB involving collaboration with engineering teams, development of production-level code, and contributions to products and services. Interns receive mentorship, training, networking opportunities, relocation support, and potential full-time consideration. The role is hybrid in Dublin, requiring office attendance three to five days weekly.

Develops and supports vendor engineering products within Mastercard’s Service Operation Tools Program. Responsibilities include creating proof-of-concept applications, integrating third-party libraries and APIs, configuring and customizing ITSM applications, evaluating vendors, collaborating with architects and business partners, and following software quality and development processes. The role focuses on BMC Remedy and related ITSM technologies across on-premises and SaaS environments.

Develops and supports ITSM vendor engineering products, including proof-of-concept applications, third-party integrations, and customized customer interfaces. Partners with architects, business teams, technical stakeholders, and vendors across regions. Responsibilities include evaluating products, configuring and upgrading ITSM applications, integrating APIs and payment gateways, and following software development and quality-control processes.