Technical Graduate - Data Analysis & Data Science 2027

Aberdeen, Scotland

Full-time

Onsite

New Grad

CGI is a technology and business consulting company that supports clients across industries. This graduate role applies data analytics, data science, data engineering, artificial intelligence and machine learning to uncover insights, solve problems and develop practical data solutions.

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Responsibilities

**Analyse and interpret data:** Explore complex datasets, identify patterns and communicate insights that support informed decisions
**Develop data models:** Structure and model data so that it can be used effectively for analysis, reporting and operational services
**Build data solutions:** Support the development of reliable data pipelines, analytical tools and software solutions
**Apply AI and machine learning:** Explore technologies including machine learning, artificial intelligence and generative AI to address client challenges
**Present meaningful insights:** Create reports and data visualisations that make complex information clear and accessible
**Collaborate across disciplines:** Work with data engineers, software developers, analysts and client teams to design and deliver practical solutions
**Innovate alongside other graduates:** Take part in early careers initiatives that go beyond your day-to-day role

Qualification

Required

A minimum 2:2 degree in data science, computer science, mathematics, statistics, engineering or a related STEM subject (some roles may require a 2:1)
Strong analytical thinking and problem-solving skills
The ability to communicate technical information clearly, both verbally and in writing
Curiosity and a willingness to research new technologies and approaches
Eligibility for Baseline Personnel Security Standard (BPSS) clearance, with many roles requiring higher National Security Vetting
Experience exploring, analysing and structuring data to identify trends and generate insights
Experience with Python or another language used for data analysis, software development or automation
An understanding of data pipelines, data transformation, storage and data quality
The ability to present data clearly through reports, dashboards or visualisation tools
An interest in machine learning, artificial intelligence and generative AI
Exposure to cloud computing platforms and cloud-based data services

Preferred

Familiarity with software development, version control or site reliability engineering would be beneficial
An interest in technology research, connected systems or the Internet of Things would be an advantage