PA are delighted to announce recruitment of our third cohort of Data Science Apprentices. We can offer you unique opportunities to develop your skills and gain hands on experience in data-driven initiatives, including artificial intelligence (AI), where you’ll be using contemporary coding platforms and modern tooling – working alongside our top digital talent. First, a little bit about us and what we believe in.
We believe in the power of ingenuity to build a positive human future.
As strategies, technologies and innovation collide, we create opportunity from complexity.
In the ever-evolving landscape of digital technologies, including the transformative realm of artificial intelligence (AI), we believe that embracing digital has changed businesses forever. Organisations that have embraced digital, including the integration of AI, are leading their industries and influencing others – and those that haven’t are falling behind.
We work alongside clients across a broad range of sectors including Government, Health, Financial Services, Consumer, Defence and Transport, to help them take the opportunities of digital and data innovation for their customers, people, and organisations. Joining us as an Apprentice, you will work on a variety of real-life client projects, delivering innovative data-driven solutions to our clients' most critical business needs.
During your time on the Apprenticeship at PA, you’ll learn much of what it takes to be a top-notch data analyst consultant. You’ll be coached and guided by experts and have countless opportunities to broaden your experience on challenging projects and programmes. Whatever you work on, you’ll be part of the team and free to grow your networks, both here at PA and far beyond.
You will be enrolled on the L6 Digital and Technology Solutions apprenticeship delivered by an external training provider. On successful completion of the 3-year apprenticeship you will gain a L6 Bachelors Degree in Digital & Technology Solutions Professional.
Key Responsibilities:
Working with a team of experienced data engineer and data scientist consultants to understand client requirements and develop custom data solutions
Learning and implementing new technologies and data and digital development best practices
Participating in meetings with clients to understand their requirements and provide data-driven solutions
Writing documentation and conduct training sessions to clients
Pursue continuous personal development in data analytics skills.
Assessment process
Application form
Online Assessments - we will invite you to complete this within a week of submitting your application
Shortlisting - once the role has closed, our teams will review all applications and shortlist for our assessment events. This can take some time but we will keep you updated on progress regularly
Final Stage Assessment Centre - these will take place in March/April and is likely to be an in person assessment event
CLOSING DATE - This role will close for applications on Friday 20th February at 4pm
Our Offer:
The opportunity to work alongside and learn from talented colleagues on real client challenges from the start
The support and coaching to grow your data analytical skills and experience on real client work, tackling real world technical and business challenges
The opportunity to work across all areas of the development lifecycle, from strategy to implementation, and to take on assignments in different sectors
The opportunity to provide high-level technical designs in collaboration with business analysts, data engineers, data scientists and data architects
A broad rich base of experience from which to build an outstanding career in data and digital
Full time role with time allowed – 20% - to participate in your apprentice programme
Hybrid working – you’ll be in the office or on client site a minimum of 2 days per week. You will need to ensure you live within a commutable distance to the office
Salary potential: £28,860
This role will start in September 2026
A career at PA is what you make of it — so power your curiosity and prepare to make an impact.