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- Tasks: Shape AI strategies and manage data architecture projects in financial services.
- Company: DXC Technology, a leader in digital transformation and AI innovation.
- Benefits: Inclusive culture, competitive salary, and opportunities for continuous learning.
- Other info: Dynamic environment with leadership opportunities and support for diverse backgrounds.
- Why this job: Join a cutting-edge AI community and make a real impact on industry transformation.
- Qualifications: Experience in AI/data solutions and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone.
As an AI Technologist, you'll help shape strategic conversations around AI and Data, ensuring that complex technology feels accessible, meaningful, and deliverable. You'll partner closely with Sales, Account Teams, and our AI Centre of Excellence & Execution (CoEE) to craft tailored strategies that turn vision into reality. This is a pre-sales and advisory position with strong opportunities for leadership, visibility, and innovation.
Key Responsibilities:- Manage data architecture projects and guide teams to ensure milestones and outcomes are delivered successfully.
- Provide clear updates on progress, risks, and insights to senior stakeholders.
- Work closely with data architects and analysts to deliver high-quality data solutions using industry best practices.
- Participate in defining data requirements and shaping organisational data strategies.
- Implement strong data governance, quality frameworks, and standards to ensure accuracy, consistency, and trust.
- Contribute to data security and compliance initiatives across projects.
- Support the creation of data roadmaps aligned to standards and organisational goals.
- Mentor and empower junior colleagues, helping them develop confidence in data architecture principles.
- Experience in AI / Data solutioning, pre-sales, consulting, AI product roles, or AI-focused innovation.
- Knowledge within the Finance Services or Aerospace and Defence sector.
- Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP).
- Ability to translate complex technical concepts into clear business value.
- Strong communication and stakeholder engagement skills - especially with senior leaders.
- Experience collaborating with both sales and delivery teams.
- Be part of a cutting-edge AI community driving digital transformation across the UK&I.
- Work at the intersection of business innovation and emerging AI technologies.
- Opportunity to shape the future of AI adoption within some of the UK's most impactful industries.
- Collaborative, forward-thinking environment with continuous learning and development opportunities.
AI Technologist - Financial Services in Woking employer: DXC
Contact Detail:
DXC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Technologist - Financial Services in Woking
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that AI Technologist role.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal project that highlights your experience with AI and data solutions. This will give you an edge and demonstrate your hands-on abilities to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and data architecture. Be ready to discuss how you've tackled challenges in previous roles and how you can bring value to the team at DXC Technology.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re all about creating a diverse and inclusive environment, so don’t hesitate to put yourself out there!
We think you need these skills to ace AI Technologist - Financial Services in Woking
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Technologist role. Highlight your experience in AI and Data solutioning, especially in financial services, to show us you’re the right fit!
Showcase Your Skills: Don’t just list your qualifications; demonstrate how your skills align with the job description. Use specific examples of how you've translated complex tech into business value, as this is key for us.
Be Authentic: We want to see the real you! Share your unique perspective and experiences, especially if you come from an underrepresented background. This helps us build a diverse team that thrives on different viewpoints.
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at DXC
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and data solutions, especially in the financial services sector. Be ready to discuss specific frameworks and platforms like Azure, AWS, or GCP, and how they can be applied to real-world scenarios.
✨Showcase Your Communication Skills
Since this role involves engaging with senior stakeholders, practice explaining complex technical concepts in simple terms. Use examples from your past experiences where you successfully communicated technical details to non-technical audiences.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or outline strategies for data governance and compliance. Think about how you would approach these challenges and be ready to share your thought process.
✨Highlight Your Mentoring Experience
If you've had experience mentoring junior colleagues, make sure to mention it. Discuss how you’ve empowered others in understanding data architecture principles, as this aligns well with the responsibilities of the role.