Find Data scientist Jobs in Ballymount, D

Data & AI Consultant – Senior Consultant to Manager
Grant Thornton —Dublin, County Dublin
- Full-time
- Azure
- SQL
- Analysis skills
EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
14d
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Group Head of Data Analytics and Consumer Insights (FTC)
Applegreen Stores —Dublin, County Dublin
- Full-time
- Management
- Master's degree
- Analysis skills
Quick apply
Product Manager, AI/ML Solutions
Optum —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Computer Science
- Data analysis skills
Data Scientist (Search & Recommendation)
Binance —Dublin, County Dublin
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- No degree
Quick apply
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
6d
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
AI Team Lead
Softworks —Bray, County Wicklow
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Annual leave
Software Architect - Analytics & Reporting
Optum —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- AWS
Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Computer Science
- Java
- Master's degree
Data Scientist (Computer Vision)
Daon Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Research
Quick apply
6d
Director, AI Enablement, Corporate Affairs
Novartis —Dublin, County Dublin
- €102,200–€189,800 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Engineering
14d
Senior Machine Learning Scientist
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
AI & Data - AI Lab: Data Scientist - Agentic & Predictive Intelligence - Manager
EY —DUBLIN 2, County Dublin
Lead Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Computer Science
- System design
- Master's degree
- Referral programme
13d
AI Analysis & Performance Analyst
TikTok —Dublin, County Dublin
- Master's degree
- SQL
- AI
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
Director Data Analytics
Optum —Dublin, County Dublin
- Full-time
- Bachelor's degree
- Business
- Leadership
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree

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Data & AI Consultant – Senior Consultant to Manager

Grant Thornton -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Power BI
Data modelling
Azure
Visual Basic
R
Tableau
SQL
Analysis skills
Project management
Forecasting
VBA
Business requirements
AI
Communication skills
Python
Analytics

Full job description

Job Description & Summary

We are hiring Data & AI Consultants into our Technology Consulting practice. You will deliver client-facing engagements across analytics, BI, data engineering, data governance, data science, AI and workflow automation, in sectors including financial services, public sector, healthcare and life sciences. You do not need to meet every requirement to apply.

Join a Dynamic Team Driving Change

Our Technology Consulting team is part our wider Consulting and Advisory services, made up of both industry leads and subject matter experts driving change and innovation across this ever-growing department. Our consultants possess transferable skills and collaborate across various teams within the Consulting, Advisory department, applying expertise in project management, stakeholder management, communication and process improvement to drive impactful results.

As a Data & AI Consultant, you will work alongside clients across diverse sectors, using your technical, analytical and consulting skills to deliver practical data and AI solutions. The role is hybrid, with client-site presence required where needed.

Role Tracks

The role spans the following Data & AI tracks. Candidates are expected to bring depth in one or more, not all. You may also work across tracks depending on client need (for example, a data engineering engagement may include governance and quality work).

Data Analytics, BI and Reporting
Data Engineering and Analytics Engineering
Data Science, AI and Advanced Analytics
Data Governance, Data Quality and Data Management
Automation and AI-enabled Workflow

Roles and Responsibilities

Responsibilities vary by track and grade, but typically include:

Working with clients to understand business problems and translate them into data, analytics, BI, engineering, governance or automation outputs.
Building dashboards, data pipelines, models, governance artefacts or automation solutions, depending on track.
Profiling, validating and improving the quality of client data.
Preparing client-ready deliverables, documentation and handover materials.
Running client workshops and working sessions.
Managing assigned tasks or workstreams and flagging risks and issues.

Additional expectations at Assistant Manager and Manager:

Lead small teams or workstreams and review junior outputs.
Manage day-to-day client stakeholders.
(Manager) Contribute to proposals, propositions, reusable assets and the development of new Data & AI work.

Skills and Experience

Education and Certifications

Degree or equivalent experience in a relevant discipline such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field.
Proficiency in at least one programming language (e.g., SQL, Python, R).

Experience, Skills and Competencies

We are looking for candidates with experience in one or more Data & AI disciplines. Candidates do not need to have experience across every area listed below. We are particularly interested in people who combine technical depth with strong communication skills and an interest in client-facing consulting.

Core experience and skills

2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance.
Degree or equivalent experience in a relevant discipline (e.g. Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Business Analytics).
Proficiency in SQL and at least one of Python, R, DAX or Power Query.
Strong analytical and problem-solving skills with messy or incomplete data.
Ability to translate business requirements into clear data or technical outputs.
Strong written and verbal communication, including explaining technical content to non-technical audiences.
Interest in client-facing consulting.
Sector experience in financial services, public sector, healthcare or life sciences is useful but not required.

You should have depth in at least one of the following.

Data Analytics, BI and Reporting

Building dashboards and reporting using Power BI, Tableau, Qlik or similar.
Defining KPIs and reporting requirements with business stakeholders.
Power BI semantic modelling using DAX and Power Query.
Analysing data to identify trends, risks and recommendations.

Data Engineering and Analytics Engineering

Building data pipelines and ETL / ELT workflows.
Working with at least one cloud data platform (e.g. Azure, Microsoft Fabric, Databricks, Snowflake).
Designing data models for reporting, analytics or reconciliation.
Implementing data quality checks and technical documentation; exposure to version control and CI/CD is useful.

Data Science, AI and Advanced Analytics

Applying statistical, predictive or machine learning techniques to business problems using Python or R.
Experience across forecasting, classification, optimisation, NLP or GenAI-enabled analysis.
Translating model outputs into business recommendations.
Awareness of model performance, explainability and responsible AI.

Data Governance, Data Quality and Data Management

Profiling, cleansing, validating and remediating data.
Defining data quality rules, dictionaries, metadata and lineage.
Supporting data ownership and stewardship models.
Contributing to data migration, regulatory reporting or remediation projects.

Automation and AI-enabled Workflow

Identifying opportunities to automate reporting, reconciliation or operational processes.
Building solutions using Power Automate, Power Apps, UiPath, Python or VBA.
Mapping current and future-state processes with business users.
Supporting AI-enabled use cases such as document processing, extraction, classification or triage.

Apply Now

Refine Your Search

data scientist jobs in ballymount, d

Data & AI Consultant – Senior Consultant to Manager

EMEA Data & Digital Program Manager

Principal Data Scientist

Group Head of Data Analytics and Consumer Insights (FTC)

Product Manager, AI/ML Solutions

Data Scientist (Search & Recommendation)

Applied Scientist, AI Ops Integration

Principal Data Scientist

AI Team Lead

Software Architect - Analytics & Reporting

Machine Learning Engineer

Data Scientist (Computer Vision)

Director, AI Enablement, Corporate Affairs

Senior Machine Learning Scientist

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

Lead Data Analytics & AI Engineer

AI Analysis & Performance Analyst

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

Director Data Analytics

Senior Staff Machine Learning Scientist, Recommendations

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