At a Glance
- Tasks: Design and implement AI and data solutions for public sector clients.
- Company: Join a leading tech firm focused on innovation and transformation.
- Benefits: Enjoy competitive salary, 30 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Flexible working environment with opportunities for continuous learning and career growth.
- Why this job: Make a real impact by driving digital transformation with cutting-edge technologies.
- Qualifications: Experience in AI/ML architecture, cloud solutions, and strong communication skills required.
The predicted salary is between 70000 - 90000 £ per year.
Location: London
Career Level: Manager (CL7)
Salary: Competitive salary and package dependent on experience
Security Clearance: Any offer of employment is subject to satisfactory BPSS and SC security clearance, which typically requires 5 years continuous UK address history with no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationality at the point of application.
Responsibilities
- Work for public sector and adjacent clients supporting their missions associated with UK sovereign transformation.
- Work with clients through strategy, solution, and delivery, using bespoke methods to research, test and deploy securely at scale.
- Learn and grow – actively encouraged and supported with continuous learning and certification.
- Serve as a cloud, data, and AI evangelist, educating customers on the values such technologies and approaches can bring to transform their business.
- Align complex business objectives with scalable, secure cloud solutions, ensuring alignment with organisational goals.
- Drive innovation across data, AI, security, and multi‑cloud strategies, enabling digital transformation.
- Design use‑case and platform technology architectures to solve key business challenges using reference and cutting‑edge technologies and architectural patterns.
- Work in multi‑disciplinary teams to refine and deliver architecture, supporting the delivery from inception through to production.
- Provide technical leadership to shape technology strategy and solution design, managing and supporting other architects and engineers.
- Contribute to the STS and wider Data & AI community, sharing insights and experience to guide the creation and establishment of standard patterns and templates for emerging technologies.
- Mentor managers and consultants, building technical capability and leadership within the team.
- Engage senior stakeholders, presenting cloud strategies and architectures to executive boards and governance forums.
Qualifications
- AI/ML architectural patterns, best practices, and platform technologies.
- Experience designing AI/ML‑driven solutions and data lifecycle management.
- Data solution design with selection of appropriate cloud‑native services for data processing, management, and storage, emphasizing serverless microservices.
- Cloud infrastructure (networking, security, monitoring, scaling).
- Hands‑on data architecture experience with programming languages such as Java, Scala, Python, or architecture‑as‑code (e.g., linkml, turtle, owl).
- Experience with both open source and vendor data platforms.
- Experience with data architecture, architectural concepts, methodologies, and approaches.
- Experience with microservices architecture.
- Experience designing for both structured and unstructured data.
- Strong communication skills – effectively explain complex technical solutions to non‑technical audiences, write clear guidance, and give impactful presentations.
- Critical thinking – analyse and evaluate information, use gathered data to present solutions and reach decisions.
- Ability to collaborate effectively, manage stakeholders, and work in partnership with others.
- Foundational certifications in AWS and/or GCP.
- Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML (e.g., AWS Certified Machine Learning – Specialty).
What’s in it for you
At Accenture, in addition to a competitive basic salary, you will receive an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance, and 3 extra days leave per year for charitable work of your choice. Flexibility and mobility are required to deliver this role, including time spent onsite with clients and partners.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
AI & Data Architect employer: Accenture
At Accenture, we pride ourselves on being an exceptional employer, particularly for the role of AI & Data Architect in London. Our vibrant work culture fosters continuous learning and innovation, offering extensive benefits such as up to 30 days of vacation, private medical insurance, and additional leave for charitable work. We are committed to employee growth, providing opportunities to mentor others and engage with senior stakeholders, all while working on transformative projects that make a real impact in the public sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Accenture!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI & Data Architect at Accenture.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Accenture.
✨Apply Directly through Our Website
When you find a suitable opening like AI & Data Architect at Accenture, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI & Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Accenture, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Accenture. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Accenture
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Accenture!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
