Find Data scientist Jobs in Maynooth, Ke

Data Analytics Engineer (Payments)
Rippling —DUBLIN 2, County Dublin
- Part-time
- Computer Science
- Master's degree
- SQL
4d
Senior Data Analyst
Prestige Telecom Group —Dublin, County Dublin
- €45,452.47–€86,816.65 a year
- Full-time
- Hybrid work
- Computer Science
- Sales
- SQL
- Work from home
- Employee discount
Quick apply
8h
Data Analyst
U.S. Bank National Association —Dublin, County Dublin
- €49,385–€58,100 a year
- Full-time
- SQL
- Bachelor's degree
- Business
2d
AI & Data - AI Lab: Data Scientist - Agentic & Predictive Intelligence - Manager
EY —DUBLIN 2, County Dublin
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
12d
Data & AI Internal Product Team – Associate Director
Grant Thornton —Dublin, County Dublin
- Full-time
- Azure
- SQL
- Project management
Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply
Senior Data Science Specialist
HCLTech —Dublin, County Dublin
2d
AI Analyst - Architecture
Marsh —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- System design
Senior QA Automation Engineer (AI-First)
Storyful —Dublin, County Dublin
- Full-time
- Master's degree
- SQL
- AWS
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree
Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
Principal Decision Scientist - Marketing
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- SQL
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
Director, AI & Digital Quality
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Management
- IT
- AI
12d
Product Manager, AI/ML Solutions
Optum —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Computer Science
- Data analysis skills
Director, AI & Digital Quality
AstraZeneca —Dublin, County Dublin
- Management
- IT
- AI
13d
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- Java

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Data Analytics Engineer (Payments)

Rippling -
DUBLIN 2, County Dublin

Apply Now

Job details

Part-time
4 days ago

Qualifications

Computer Science
React
Slack
Tableau
Master's degree
SQL
C
Bachelor's degree
Accounting
Communication skills
Python
Analytics

Full job description

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

Job Description

Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Analytics Engineer - Payments (Internally titled: Data Scientist - Payments) to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem.

This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling’s finances and essential for the correct functioning of product systems.

What you will do

Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform.
Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business.
Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies.
React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters.
Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools.
Develop and maintain comprehensive documentation of reconciliation processes and procedures.
Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting.
Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.

What you will need

Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or other related fields.
4+ years of demonstrated experience in applying analytics engineering, analysis, modeling, and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster).
Extensive experience with SQL and its application to all phases of the data science development process (initial analysis and model development through deployment).
Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines.
Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences.
Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization.
Bonus points if you have experience with general accounting principles, the general ledger close process, and regulatory compliance.

Apply Now

Refine Your Search

data scientist jobs in maynooth, ke

Data Analytics Engineer (Payments)

Senior Data Analyst

Data Analyst

AI & Data - AI Lab: Data Scientist - Agentic & Predictive Intelligence - Manager

Applied Scientist, AI Ops Integration

Data & AI Internal Product Team – Associate Director

Sr Applied Scientist

Senior Data Science Specialist

AI Analyst - Architecture

Senior QA Automation Engineer (AI-First)

Senior Applied Scientist, AWS Security

Senior Staff Machine Learning Scientist, Recommendations

Machine Learning Engineer

Principal Data Scientist

Senior Software Engineer - Machine Learning (f/m/d)

Principal Decision Scientist - Marketing

Director, AI & Digital Quality

Product Manager, AI/ML Solutions

Director, AI & Digital Quality

Staff Machine Learning Engineer

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