Graduate Data Scientist, Data Insights & AI Solutions

Arup

Dublin

On-site

EUR 38,000 - 48,000

Full time

4 days ago
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Benefits offered by this job

Profit Share
Flexible working

Job summary

Arup in Dublin is seeking a Graduate Data Scientist to join the Data Insights team. You will work across a wide portfolio of data projects and deliver data-driven solutions for internal and external clients.

You will apply statistical, analytical, and programming techniques to collect, analyse, and visualise data, translating business challenges into practical, data-driven outcomes while collaborating with multidisciplinary teams.

Qualifications

  • Undergraduate or bachelor's degree in Data Science, Data Engineering, Mathematics, Statistics, Computer Science or Engineering.
  • Strong skills in ML, statistics, data analytics and visualization.
  • Experience with Python, SQL, data engineering and cloud tech is preferred.

Responsibilities

  • Support the development and delivery of data science, analytics and AI solutions for clients across sectors.
  • Apply statistical and programming techniques to collect, analyse and visualise data to identify insights.
  • Collaborate with multidisciplinary teams to translate business needs into data-driven solutions and build tools and dashboards.
  • Explore emerging AI and ML technologies to improve efficiency and outcomes for clients.
  • Share knowledge and develop skills through training, mentoring and project experience.

Skills

Machine Learning
Statistics
Data Science
Data Visualization
Python
SQL
Data Engineering
Cloud Computing
Artificial Intelligence
Software Engineering
Data Modelling
Data Cleaning
Power BI
Git
Tableau
Azure
Databricks
AWS
Geospatial Analysis

Education

Undergraduate/Bachelor's degree in Data/Data Science/ Mathematics/ Statistics/ Computer Science/ Engineering

Tools

Power BI
Git
Tableau
Microsoft Azure

Job description

Arup in Dublin is seeking a Graduate Data Scientist to join the Data Insights team. You will work across a wide portfolio of data projects and deliver data-driven solutions for internal and external clients.

You will apply statistical, analytical, and programming techniques to collect, analyse, and visualise data, translating business challenges into practical, data-driven outcomes while collaborating with multidisciplinary teams.

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