Technology & Transformation - Engineering, AI & Data - AI & Data - Graduate Programme - 2025

Programme Full Time Graduate Career Path Consulting Location Manchester Start Date September-2025 Programme Description What does this team do? Artificial Intelligence (AI) & Data AI & Data uses the power of analytics, robotics and cognitive technologies to uncover hidden relationships from vast troves of data. This can help us to create and manage large-scale organisational intelligence and generate insights that increase efficiency. You will be in one of three teams, supporting our clients collaboratively. As part of these teams, you will develop various skills, building upon your studies and previous professional experience. What skills and academic qualifications do I need? Required: You will need to have obtained or be studying towards at least a 2:1 in any degree discipline, and have graduated by September 2025, as well as achieved at least 104 UCAS points (260 UCAS points pre-2017) for your A levels (or equivalent), at least a grade 4 (C) in English language and at least a grade 6 (B) in Maths in your GCSEs (or equivalent). Recommended:

• A STEM degree (Science, Technology, Engineering or Mathematics)
• Experience applying data and/or AI as part your education or through previous work experience

What kind of work will I do? Artificial Intelligence (AI) & Data You will be joining one of our client-facing teams making a big impact to clients across all industries:
AI Scaling & Transformation – AIS&T enable organisations to harness the power of AI in the delivery of their services/products. We do this through:

• Supporting our clients through the discovery, design and delivery of AI applications.
• Reimagining operating models and governance for AI applications.
• Engineering processes and workflows with deep expertise and skills in data science and AI.
• Providing scalable pre-built industry aligned AI solutions and assets.

To achieve this for our clients, we focus on five pillars:

• AI Applications – Re-designing processes to take advantage of AI
• AI Delivery – Managing and using multi-model content to enable AI-based improvement
• Visualisation – Building interfaces that decision makers use to understand their data
• Data Science – Applying ML and statistics to address individual client challenge
• AI Solutions – Pre-built and ready-to-go AI assets

Strategy, Governance & Architecture – SG&A is at the forefront of transformations underpinned by Data & AI, setting the vision and direction to help our clients become insight-driven and data product-oriented. We will make our clients successful by ‘breaking down barriers’ in their operations, so they can better use and implement AI initiatives.
To achieve this for our clients, we focus on three pillars:

• IDO & Data Strategy – Defining strategies to maximise the opportunity that data and AI presents
• Data Governance & Operations – Instilling clear practices for the management of data
• Data & AI Architecture – Designing data platforms and data models to provide a strong data foundation

Engineering & Transformation – E&T advise, implement and operate data and AI solutions to help our clients solve complex challenges and maximise the value of their information. We build analytics capabilities on top of data platforms that tie into a client’s business strategy and provide insight into key questions around an organisation’s performance. We are a team that specialises in data and information – how to structure it, how to source it, how to transform it, how to store it, how to consume it.
To achieve this for our clients, we focus on three pillars:

• AI & Cloud Data Engineering – AI, machine learning and data engineering to deliver cloud data platforms and DataOps/MLOps capabilities
• Data & AI Transformation Delivery – Providing business and data analysis to enable transformation
• Data Management & Transformation – Designing and delivering technology solutions to govern data

What’s in it for me? As a Graduate (Analyst) joining Technology & Transformation you will:

• Be supported from your first day by our dedicated Technology & Transformation Early Experience team along with Early Talent senior sponsors from your team.
• You will attend our amazing Analyst Induction Programme (AIP) alongside your Technology & Transformation Analyst peer group to learn about our company, culture and how we work – and to build your network here at Deloitte.
• You’ll get an opportunity to practice the key skills you’ll need on client projects. AIP is initially a week-long in-person event which includes engaging talks, group activities and immersive simulation challenges.
• You’ll meet many team members from your business area, including your People Leader and Resource Manager, and make a few friends along the way.
• Following the first week of AIP with your T&T colleagues, you will continue to be set up for success for your future career through AI&D specific training. This will take place for a few more weeks - all exciting and very relevant to your future client/project engagements.
• You will have the opportunity to network with colleagues at all levels of seniority and have access to lunch and learns, mentors and more!

Upon being offered a role, you will be assigned a buddy who has been in your position, a graduate and they will be your informal point of contact for any queries, and to offer insight and guidance ahead of joining. How will I develop? Artificial Intelligence (AI) & Data Working within high-performing teams, you’ll get the opportunity to develop alongside our exceptional colleagues, with on-the-job experience. Alongside this, you’ll have a multitude of avenues for personal and professional development, including:

• AI&D Analyst training - Forming part of your progression pathway, sessions are delivered by our junior talent training team across a range of foundational topics, throughout your first two years at Deloitte.
• Learning Pathways – Opportunity to drive your own career, with training courses run by Deloitte subject matter experts available on a variety of topics throughout the year.
• Certifications – Depending on business demand and your personal goals, you will have the option to undertake technical certifications (e.g. AWS, GCP etc.)

Our commitment to you Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before. We want you. The true you. Your own strengths, perspective and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for. Your expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world-class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead. Additional information Application deadlines: The closing deadline for this role is 5th February 2025, but we recommend getting your application in as soon as possible. Please note, some of our roles may close before the deadline if we experience high demand. Assessment deadlines: Once you’ve applied to this role, you’ll receive an email from our recruitment team outlining next steps and the relevant deadlines for you to complete the following stages of our process. We operate a strict one application per year policy across our Early Careers opportunities. We recommend only submitting an application for a role that you feel is right for you. Visa Sponsorship: We accept applications from candidates requiring Student to Skilled worker sponsorship for this role. See our Work Permits page for more information. We will support you in developing your skills in softwares such as:

• Alteryx
• SQL Server
• Python
• Tableau
• Power BI
• Advanced Excel
• Cloud based tools such as Azure, Snowflake and Fivetran