Apprenticeship Level 6 - Data Scientist - London

See it differently

You see the world through a unique lens and that’s exactly what we need. We embrace how you see things differently – it’s essential for creating a sustainable future.

Arup is a global consultancy with advisory and technical expertise across more than 150 disciplines. We guide, plan and design the future of the built environment. Globally, each year we recruit hundreds of graduates to help us see things differently and solve the most complex challenges facing our clients, climate and communities.

Our Level 6 Degree Apprenticeships

Our apprenticeships allow you to study for industry-recognised qualifications whilst earning a competitive salary. As an apprentice, you will study with a training provider, such as a university, and combine this experience with real responsibilities in the workplace. Your study pattern could be day or block release, or via distance learning, depending on the course that you enrol on. A dedicated mentor will guide you through your personal and professional development. Level 6 Degree Apprenticeships have a typical duration of 3– 6 years, during which you will attain both a professional and academic qualification to further your career. Our apprentices are employed on a permanent basis, so you'll continue to progress with Arup once you've completed your course.

The Opportunity

Data Science Apprenticeship

An opportunity to join our Transport Digital team in London as a Data Science Apprentice. Our team uses leading digital techniques to analyse large, complex datasets and enhance productivity across engineering disciplines. As an apprentice, you'll gain hands‑on experience with modern data science tools, work on real-world transport and infrastructure challenges, and contribute to impactful digital solutions.

What you'll work on:

• Machine Learning & AI: Develop, train, and deploy predictive models for regression, classification, clustering, time‑series forecasting, and computer vision. Work with libraries such as Scikit‑Learn, TensorFlow, and PyTorch, and apply explainable AI techniques to support transparent, evidence‑based decision‑making.

• Data Pipelines & Engineering: Build and maintain reliable data pipelines using Python, SQL, and cloud technologies (AWS/Azure). Collect, clean, and validate large datasets from a range of sources including sensors, databases, and APIs.

• Data Analysis: Apply statistical and analytical techniques to uncover trends, patterns, and insights. Tackle real industry problems such as remote‑sensing structural health assessment, asset‑condition monitoring for predictive maintenance, and infrastructure risk modelling.

• Visualisation & Communication: Create clear, compelling visualisations and dashboards to communicate findings to both technical and non‑technical audiences. You'll also have opportunities to develop full‑stack web applications that deliver AI-driven insights.

• Collaboration & Agile Delivery: Work in multidisciplinary teams, participate in sprints, code reviews, and demos. Contribute to project documentation and share knowledge with peers.

Is this role right for you?

We're looking for apprentices who are curious and ready to evolve how they think and work.

We are looking for candidates with A Levels at ABB or above including Mathematics and Computer Science (or equivalent) or will have completed a Level 3 Apprenticeship in the relevant area.

Changemakers: A passion for sustainable development and creating a better world is key.
Innovative minds: We're looking for critical thinkers who embrace new ideas and challenge the status quo.
Growth seekers: You have a growth mindset, always eager to learn and explore new ways of working.
Adaptable adventurers: You're ready to take on any challenge that comes your way.

You should be able to start this opportunity in September 2026.

Advert closing date: 14th March 2026

Please note, in the event of high applicant volume, this role may be closed ahead of the advertised closing date. Early application is recommended.

Location Preferences

While the role you applied for is based in the location specified in the job advert, we may have other opportunities that align with your profile. To help us assess this, please let us know which Arup office locations you would be interested in working in on your application form

Duplicate Applications

Please note, candidates are permitted to submit only one application per recruitment cycle. We recommend reviewing all available opportunities and selecting the role and location(s) that best align with your skills and interests before applying.

Please note we are unable to offer Skilled Worker Visa sponsorship for this role.

What we offer you

Beyond a great salary and stimulating, technically challenging work, Arup offers a range of additional benefits to its people.

As a membership organisation, everyone shares in our success through a global profit share scheme. Our members also have access to a range of broader wellbeing benefits. You’ll have access to lots of learning and development opportunities. This includes a structured induction and ongoing training through Arup university.

Additionally, you'll have the opportunity to utilise your technical expertise to do meaningful work that strengthens the resilience of communities and places to improve lives through Arup's community engagement programme.