Find Ml science Jobs in Dublin, D

Data Scientist
CarTrawler —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
- Annual leave
- Employee assistance program
Biological Structures Data Engineer I/II
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- AWS
Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
Data Architect
Version 1 —Dublin, County Dublin
- €80,000–€95,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- AWS
- Employee assistance program
- Employee discount
Quick apply
AI Analyst - Architecture
Marsh —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- System design
Principal Data Scientist - Network Analytics & AI Enablement
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- SQL
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI
Senior Data Scientist
LexisNexis Risk Solutions —Dublin, County Dublin
- €68,400–€114,000 a year
- Full-time
- Azure
- SQL
- No degree
AI Portfolio Analyst
ICON Plc —Dublin, County Dublin
- Full-time
- Analysis skills
- Bachelor's degree
- Organisational skills
7d
Research Engineer: Machine Learning and Knowledge Representation for Biodata
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Research
AI Analysis & Performance Analyst
TikTok —Dublin, County Dublin
- Master's degree
- SQL
- AI
Staff Software Engineer, AI Reliability Engineering
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Bachelor's degree
- AI
- Communication skills
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
AI Engineer
Deloitte —Dublin, County Dublin
- €53,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Data analysis skills
Deployment Strategist
Salesforce —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Salesforce
Data Analyst
iCims —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Data analysis skills
- Annual leave
- Life insurance
Software Engineer - ML Platform
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Data Analyst
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Data analysis skills
- Annual leave
- Life insurance
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree

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Data Scientist

CarTrawler -
Dublin, County Dublin

Apply Now

Job details

Permanent

Benefits

Bike to work scheme
Annual leave
Employee assistance program
On-site parking

Qualifications

TensorFlow
Data mining
Doctoral degree
Relational databases
Git
Tableau
Master's degree
SQL
Python

Full job description

Tech that takes you places

We’re CarTrawler, the global travel tech company behind seamless connections between people, places and possibilities. From powering car rental to creating smarter ways to move, we make travel smoother for millions worldwide. Our culture is built on curiosity, collaboration and craic where every idea counts and every journey matters. Ready to make an impact? Let’s go places together.

Were looking for someone who enjoys;

Solving complex real-world business problems using cutting-edge machine learning methods and techniques.

Developing data-driven models and tools to optimise trading performance across a host of domains including pricing and recommended sort.

Conducting exploratory analysis to generate actionable insights, identify opportunities, and enhance our understanding of consumer behaviours.

What you'll do as a Data Scientist:

Develop industry leading data science solutions through:
Define data requirements and extracting required data to support solution development.
Perform exploratory data analysis to improve understanding of underlying trends and behaviours to help inform feature engineering work and next steps in modelling process.
Support in the designing and development of scalable and efficient data driven solutions.
Input into the design decisions determining optimal data science methodologies and technologies to use to solve the problem at hand.
Ensure integrity of the data science solutions in terms of the underlying statistical and economic models and assumptions.
Collaborate with the MLOps team in the development and deployment of proposed solutions to a live environment and tracking the effects in real time.
Devise statistically robust testing plans to validate effectiveness of solutions.
Collate results from in-market tests and validating them.
Effectively communicate outputs of work to other team members and business stakeholders in a manner that can be understood by both technical and non-technical audiences.
Work with colleagues in Revenue function to ensure they are equipped with required tools, models and resources for optimising trading performance.
Support the wider business with BAU tasks related to the services Data Science provide or with designing new data-driven solutions to solve their complex business problems.
Proactively work with wider data & technology teams to support the collection of new data and refinement of existing data sources.

Knowledge and Skills:

Undergraduate, M.S. or Ph.D. in a relevant quantitative field, and 3+ years’ experience in a relevant role.
Solid understanding of statistical modelling, algorithms, data mining and machine learning workflows.
Some experience or knowledge of using more advanced ML libraries (TensorFlow, PyTorch, MXnet, etc.).
Experience in the development or application of GenAI algorithms seen as a plus.
Proficient in writing well structured, robust and readable code in Python.
Proficient in SQL and relevant experience using relational databases.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
Proven experience manipulating and analysing complex, high-volume, high-dimensional data from varying sources.
Ability to create compelling visualisations and dashboards (e.g. Tableau, Thoughtspot).
Knowledge of Git and modern development workflows.
Proven ability to work creatively and analytically in a fast-paced, problem-solving environment.
Ability to partner with Software Engineering teams to co-develop functionality for the business.

Go on, give it a go!

We know that looking for a new job can feel a bit daunting but don’t let a touch of imposter syndrome hold you back. Even if you don’t tick every box, we’d still love to hear from you! Apply today to stay connected.

At CarTrawler, we’re proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for everyone. No matter your background, identity, or life experience, if you’re passionate about what you do, you’ll be welcomed here.

Perks for the journey

Competitive pay and benefits, including a performance-based annual bonus, fully subsidised VHI health insurance and pension matching up to 4%.

Generous time off and flexible working, including 25 days’ annual leave, extra company days, monthly Friday Unplugged afternoons and the option to work abroad for up to 20 days a year.

Comprehensive wellbeing support, including access to health and mental health programmes (HeadsUp and EAP) and paid leave for marriage, volunteering and personal wellbeing including menstrual, menopause, and fertility leave.

Growth and recognition culture with development opportunities through training, coaching and study support plus programmes that celebrate individual and team achievements.

Everyday perks that make a difference - subsidised canteen (KC Peaches), on-site car parking, Bike to Work and TaxSaver schemes plus an active Sports & Social Club.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

Refine Your Search

ml science jobs in dublin, d

Data Scientist

Biological Structures Data Engineer I/II

Practice Lead - Data Science_ ML

Data Architect

AI Analyst - Architecture

Principal Data Scientist - Network Analytics & AI Enablement

Principal AI/ML Scientist & Engineer

Data Engineer

Senior Data Scientist

AI Portfolio Analyst

Research Engineer: Machine Learning and Knowledge Representation for Biodata

AI Analysis & Performance Analyst

Staff Software Engineer, AI Reliability Engineering

Principal Data Scientist

AI Engineer

Deployment Strategist

Data Analyst

Software Engineer - ML Platform

Data Analyst

Senior Applied Scientist, AWS Security

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