PA Consulting

Digital analyst in data

In short

This is a rotational graduate scheme at a consulting firm, moving junior analysts through Architecture, Engineering & DevOps, Data Science and AI rotations on client delivery work. It involves designing and developing technology solutions, collaborating with business analysts, software architects, test and DevOps specialists. It demands a STEM undergraduate degree, strong communication and problem-solving skills, and ideally some programming and cloud platform exposure. The role is hybrid, based in London Victoria, starting Autumn 2027 with a salary potential of £36,500.

About the Programme
PA are delighted to announce recruitment to our 2027 Rotational Digital Graduate Scheme. This programme is designed for graduates with a passion for technology, data, software engineering and artificial intelligence who are looking to accelerate their careers in consulting. As a Graduate Analyst, you will rotate across Architecture, Engineering & DevOps (AED), Data Science and AI, gaining hands-on experience delivering innovative solutions for leading organisations.
Responsibilities
•Participate in rotations across AED, Data Science and AI.
•Learn to design, develop and support technology solutions using modern engineering and data practices.
•Work with multidisciplinary teams to solve complex business and technical challenges and support development of AI-enabled and data-driven solutions for clients.
•Provide high-level technical designs and develop software in collaboration with business analysts and software architects.
•Work closely with test and DevOps specialists as well as service managers on automated software releases to production.
•As your career progresses, work across all areas of the development lifecycle, from strategy to implementation, and take on assignments in different sectors.
Requirements
•Undergraduate degree in Computer Science, Data Science, Software Engineering, AI, Mathematics, Engineering or a related STEM discipline.
•Open to change, driven to succeed, hungry for new challenges, and eager to broaden your understanding of the world.
•Thrive in dynamic teams, build strong relationships with clients and peers, and support others to succeed.
•Comfortable in high-performance environments, with excellent communication skills, both written and verbal.
•Demonstrate strong problem-solving abilities, innovative thinking, and the flexibility to adapt your style and approach.
•A passion for data.
•Show strong workplace etiquette by being punctual, dependable, and respectful of business expectations and office conduct.
Ideally you will also have:
•Experience with programming languages preferred (e.g. Java, JavaScript, C/C++, Python or C#).
•Good understanding of relational and non-relational databases and familiarity with cloud-native services across AWS, Microsoft Azure and/or Google Cloud Platform (GCP).
Conditions
•Structured learning, mentoring, capability rotations and professional development opportunities to help you build the foundations of a successful consulting career.
•You will be enrolled onto our Graduate Development Scheme including access to mentoring; and at the end of the scheme, you will be eligible for promotion to our Consultant Analyst rank.
•Structured graduate development programme including mentoring, technical training, capability rotations and career coaching.
•Opportunity to experience multiple digital disciplines before choosing a specialism.
•Exposure to AI, cloud platforms, software engineering and modern data solutions.
•Hybrid working – we work flexibly at PA, but your work base will be our London Victoria office.
•Salary potential: £36,500.
•The role will start in Autumn 2027.
Health and lifestyle perks:
•Accompanying private healthcare.
•25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
•Generous company pension scheme.
•Opportunity to get involved with community and charity-based initiatives.
•Annual performance-based bonus.
•PA share ownership.
•Tax efficient benefits (cycle to work, give as you earn).

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