Apprentice - Digital; Data Science

Full-time

We believe in the power of ingenuity to build a positive human future.

As strategies, technologies, and innovation collide, we create opportunity from complexity.

Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.

We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.

Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.

PA. Bringing Ingenuity to Life.

Final date to receive applications IS 4PM FRIDAY 20TH FEB. We will not accept applications after this deadline.

PA are delighted to announce recruitment Data Science Apprentices  into our Belfast office. 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 required to secure a place on this course to begin your apprenticeship with PA. Your application to UU is separate to your application to PA, and you must apply directly with UU to secure a place on their degree course. We will not be able to apply for you.

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
• Shortlisting
• Assessment Centre
• Final Stage Interviews

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…