Graduate Data Scientist (UK Multiple Locations) in Warrington

Launch Your Career with Our 2026 Graduate Programme! Are you brimming with ambition and ready to make your mark in the professional world? Look no further! Our UK Graduate Programme is designed to catapult you into a thriving career, offering unparalleled opportunities for growth, learning, and success. Join Amentum in September 2026 and help us create a secure and vibrant future.

Amentum are currently recruiting for Graduate Data Scientists. These are hybrid working roles based in Warrington, London, Bristol, Manchester, Newcastle, Glasgow, or Edinburgh with remote working options.

Business Area and what you'll be doing:

• Work primarily within the Nuclear Decommissioning and Regeneration Solutions sector, with opportunities to contribute to projects across Energy, Space, Defence, and Research & Innovation.
• Collaborate on high-impact initiatives for major clients including Sellafield, EDF, the European Space Agency, and Norwegian Nuclear Decommissioning.
• The team plays a key role in driving digital transformation - modernising legacy systems, enhancing data capabilities, and leading the organisation's progression into the digital age.
• The Digital and Data team drives continuous improvement in engineering and project management processes through automation, data-driven reporting, and strategic guidance on data governance and best practice.

As part of Amentum's Graduate Scheme, you will receive comprehensive training in both professional and business skills, alongside discipline-specific development tailored to your career aspirations. Your work will align with the competencies required for professional chartership, supporting your progression toward achieving chartered status in your chosen field.

A key highlight of the programme is a residential trip to the Lake District, where you'll have the opportunity to network with fellow graduates and senior leaders. Through a series of engaging and challenging team activities in a natural setting, you'll strengthen your collaboration, communication, and problem-solving skills while building lasting professional relationships.

Team and Wider Company:

• Join a small, diverse team of data scientists and digital change agents embedded within a wider multidisciplinary engineering environment.
• Collaborate with a mixture of graduates, apprentices, and experienced professionals across various disciplines.
• Receive a dedicated mentor to support your career growth and technical development.
• Be a part of a tight-knit community of data professionals who are passionate about topics ranging from AI and Python to emerging digital technologies.
• Access and contribute to up to nine company-wide Connect Networks, including the Women's Network, NextGen (Early Careers), APEX (Neurodiversity), ABE (Black Excellence), and more.

What you will learn and develop:

• Gain hands-on experience in Python, including working with Large Language Models (LLMs), Flask, Selenium, and Regular Expressions (RegEx).
• Learn how to transform complex data into clear, impactful insights through data visualisation and storytelling with Python and Power BI.
• Explore the development and application of Agentic AI systems.
• Learn to design, build, and manage Knowledge Base Systems for data-driven insight and automation.
• Innovate on the Azure platform, progressing projects from experimentation through to production deployment.
• Set up and manage SQL and Graph Databases within the Azure environment.
• Collaborate with non-technical and cross-disciplinary teams to deliver successful project outcomes.
• Gain exposure to consultancy practices, including how to scope, pitch, and commercially win work.
• Receive professional development support towards achieving chartership with the Alliance for Data Science Professionals (AfDSP).

Why Join Us?

• Exciting Projects: Work with a diverse team of experts from across the UK and beyond to gain insights into our markets and clients.
• Comprehensive Training: Benefit from a structured development programme that covers everything from discipline-specific skills and professional registration to personal development.
• Mentorship: Receive guidance from seasoned professionals who are dedicated to helping you achieve your career goals.
• Career Progression: When you reach the end of the programme, it's just the beginning! You'll be supported to continue to develop your experience and capabilities to help progress your career and achieve professional registration.
• Supportive Community: Our hub-based model is focused in key locations, ensuring that you'll be part of a supportive early careers community with plenty of networking and experiential learning opportunities.

We are looking for candidates who:

• Have completed an undergraduate or master's degree (e.g. Data Science, Mathematics, Physics, Computer Science, or Engineering) level qualification in a relevant subject by summer 2026.

Key Skills & Attributes:

• A solid understanding of statistical methods and analysis.
• A good foundation in machine learning principles and techniques.
• Strong problem-solving and creative thinking skills.
• Excellent communication and teamwork skills.
• Ability to present ideas and technical concepts clearly to stakeholders.

You must be:

• A flexible self-starter, who is keen to drive their career forward.
• Adaptable to change, with a thirst for learning new things.
• Have the permanent right to work in the UK.

Our Graduate Programme assumes that participants are commencing their first professional role post-graduation. To qualify for our Graduate Programme, you must therefore have:

• Completed your first degree no earlier than the summer of 2024.
• Not worked in a similar professional role since graduation.
• Achieved a minimum 2:2 in your first degree.

Selection Process:

• Step 1: Apply Online.
• Step 2: Successful candidates will be invited to complete an online assessment.
• Step 3: Those who are selected will be invited to a final face-to-face interview with our operations teams.
• Step 4: Selected candidates will be offered an opportunity to join Amentum Graduate Programme in September 2026.

We will close the application window for this role on Friday 2nd January 2026, however we reserve the right to close the role sooner should we receive the required number of applications.

What else we provide:

• A flexible workstyle, embracing a hybrid working pattern and supporting those who need to balance work/life commitments a bit differently than others.
• Free single medical cover and digital GP service.
• Reimbursement towards relevant professional development and memberships.
• An inclusive and diverse work environment, embracing the variety of disciplines, cultures, backgrounds and lifestyles of our employees through our Employee Networks.
• A focus on safety, health, and wellbeing, prioritising our people through a supportive culture and positive mental health champion network.

We want you to bring your whole, authentic self to work. As a Disability Confident employer, we will interview all disabled applicants who meet the minimum criteria for a vacancy. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role. If you require further support or reasonable adjustments with regard to the recruitment process (for example, if you require the application form in a different format or would like to discuss the recruitment process in more detail), please contact us and we'll be happy to help. Your application experience is important to us, and we're keen to adapt to make every interaction even better. We welcome feedback on our recruitment process and if you need more from us before deciding to join our company, please contact us here.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.