Find Data science_ ml Jobs in Dublin, D

Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
5d
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
11d
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
Full Stack Engineer, Charles River Development, Assistant Vice President
State Street —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Data Scientist & Project Lead, AI (Senior Manager)
PwC —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Computer Science
Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Staff Product Engineer, AI
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Bachelor's degree
- JavaScript
- Annual leave
- Work from home
Product Manager, Solutions and Delivery – Data and Client Platforms (Vice President)
Citi —Dublin, County Dublin
- €85,600–€128,400 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- Java
Data Architect, Charles River Development, Vice President
State Street —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
AI Infrastructure Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Java
- Master's degree
- Annual leave
- Work from home
Chief Information Officer
ACE Money Transfer —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
Deployment Strategist - Polish Speking
Salesforce —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Sales
Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply
Full Stack Engineer
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Engineering
Software Architect - Analytics & Reporting
Optum —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- AWS
AI Team Lead
Softworks —Bray, County Wicklow
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Annual leave
Manager, Account Executives, Startups
Anthropic —Dublin, County Dublin
- €265,000–€310,000 a year
- Sales
- Analysis skills
- Bachelor's degree

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Principal Data Product Engineer — Data Ontology & Metadata

AstraZeneca -
Dublin, County Dublin

Apply Now

Job details

5 days ago

Qualifications

Data modelling
Doctoral degree
Computer Science
Master's degree
SQL
AWS
Bachelor's degree
CT
IT
Communication skills
Python

Full job description

Location Dublin, Leinster, Ireland Job ID R-256837 Date posted 21/07/2026

Be a key member of the Advanced Robotics & Data Orchestration Team, building the semantic data backbone for Alexion’s Product Development & Clinical Supply (PDCS) organization. Help transform our multimodality product development labs from manual, time intensive workflows, into an automated, scalable, and scientist-friendly ecosystem by defining ontologies, vocabularies, and metadata models that accelerate decisions, strengthen data integrity, and ready the organization for advanced automation and AI/ML. As the team’s primary interface to the Alexion Data Office (ADO) and the lead point of contact to Alexion IT, you will drive bidirectional alignment on data standards and platform implementation while partnering closely with Lab Automation and Orchestration leads. Help us accelerate life-changing therapies to patients with rare and ultra-rare diseases.

This is what you will do:

Design ontologies and metadata models for key domains (chromatography, spectroscopy, assays, automation runs, process parameters, samples/lineage) with governance, versioning, and change control.

Define and publish data contracts and canonical schemas; embed standards into ingestion, validation, and transformation; enforce lineage, provenance, and data quality rules.

Build reference implementations (schema registry, conformance tests, enrichment services) integrated with Databricks on AWS and enterprise catalogs; align with ELN/LIMS/SDMS connectors.

Curate data products exposing consistent entities/relationships; enable self-service discovery, governed APIs/views, and downstream ML feature stores.

Lead cross functional standards forums; deliver documentation, examples, and training; measure adoption, conformance, and time to data improvements.

Serve as primary liaison to ADO and Alexion IT for data standards, catalogs, and governance tooling; maintain a bidirectional communication cadence with Lab Automation and Orchestration leads to ensure implementation fidelity.

You will be responsible for:

Enterprise grade ontology/vocabulary releases with governance artifacts (stewardship roles, RACI, version notes) and deprecation/change communications.

Contracted schemas and metadata policies embedded into pipelines and catalogs, including automated conformance checks, issue triage, and remediation guidance.

Cataloged, discoverable data products with lineage and role-based access controls suitable for audit sensitive environments, with periodic quality reviews and reporting.

A roadmap and backlog for semantic standards aligned with product and platform roadmaps, measurable gains in adoption, conformance, time to data, and reuse across teams.

External/internal stakeholder alignment: single point ownership for ADO/IT coordination on standards, catalogs, and reference implementations supporting PDCS use cases.

You will need to have:

Education/experience: PhD + 4 years, or MS + 8 years, or BS + 12 years in Computer Science, Information Systems, Data Engineering, or related— including 7+ years of hands-on data modeling, ontology, and metadata engineering with standards embedded in production pipelines and experience with lakehouse/catalog platforms (for example, Databricks on AWS).

Demonstrated skills in semantic modeling, schema design, data contracts, lineage/provenance, and data quality frameworks/governance tooling.

Proficiency in Python/SQL for implementation and validation.

Strong cross functional communication and the ability to drive consensus across data, IT, and laboratory stakeholders.

Ability to travel to New Haven, CT ~4x/year, 2–4 weeks per trip, to work face to face with laboratory practitioners and gain hands on familiarity with equipment and robotics.

The duties of this role may require periodic work in a laboratory or manufacturing environment. As is typical of such roles, employees must be able, with or without an accommodation to: lift/carry 15/30 pounds unassisted/assisted; work comfortably in a controlled environment with and around hazardous materials; gown/degown PPE; use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.

We would prefer for you to have:

CMC/lab data familiarity (ELN/LIMS/SDMS, instrument domains) and experience operationalizing metadata services and ML feature workflows; domain experience preferred but not required.

Date Posted

22-Jul-2026

Closing Date

05-Aug-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

Apply Now

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data science_ ml jobs in dublin, d

Principal Data Product Engineer — Data Ontology & Metadata

Director, Game Science & Insights

Lead Machine Learning Engineer

Full Stack Engineer, Charles River Development, Assistant Vice President

Senior Data Scientist & Project Lead, AI (Senior Manager)

Senior AI Engineer

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Architect

Sr. Technical Program Manager, AWS Manufacturing Operations

Staff Machine Learning Engineer

Data Architect, Charles River Development, Vice President

AI Infrastructure Engineer

Chief Information Officer

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Sr Applied Scientist

Full Stack Engineer

Software Architect - Analytics & Reporting

AI Team Lead

Manager, Account Executives, Startups

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