At a Glance
- Tasks: Shape AI strategies and deliver impactful data solutions in financial services.
- Company: Join a leading firm at the forefront of AI innovation.
- Benefits: Competitive salary, career growth, and opportunities for leadership.
- Other info: Mentor junior colleagues and shape the future of AI adoption.
- Why this job: Be part of a cutting-edge AI community driving digital transformation.
- Qualifications: Experience in AI, data solutioning, and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Candidates are required to be eligible for clearance
- 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
What the job involves
- 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 + advisory position with strong opportunities for leadership, visibility, and innovation
- 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
- 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
AI Technologist (Financial Services) employer: Deepstreamtech
As an AI Technologist in the Financial Services sector, you will join a forward-thinking company that prioritises innovation and employee development. With a collaborative work culture that encourages mentorship and leadership opportunities, you will be part of a dynamic team driving digital transformation across the UK. The company offers a supportive environment where your contributions are valued, and you can make a meaningful impact on the future of AI adoption.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technologist (Financial Services)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Financial Services sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs to ask for advice or insights.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with AI/ML frameworks and data solutions. Use real-world examples to demonstrate how you’ve turned complex tech into business value.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining technical concepts in simple terms, as you’ll need to engage with senior stakeholders who may not have a tech background.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Technologist (Financial Services)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in AI, data solutioning, and any relevant sectors like Financial Services or Aerospace and Defence. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can bring value to our team. Don’t forget to mention your communication skills and experience with senior stakeholders – we love that!
Showcase Your Technical Skills:We’re keen on seeing your familiarity with AI/ML frameworks and cloud ecosystems like Azure, AWS, or GCP. Make sure to include specific examples of how you've used these technologies in past roles to solve problems or drive innovation.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and data solutions, especially in the context of financial services. Be ready to discuss specific frameworks like Azure, AWS, or GCP, and how they can be applied to real-world scenarios.
✨Speak Their Language
Practice translating complex technical concepts into business value. During the interview, focus on how your skills can help the company achieve its goals, especially when talking to senior leaders who may not be as tech-savvy.
✨Showcase Your Collaboration Skills
Highlight your experience working with sales and delivery teams. Prepare examples of how you've successfully collaborated on projects, ensuring that you demonstrate your ability to engage stakeholders effectively.
✨Be a Mentor at Heart
Since mentoring junior colleagues is part of the role, think of ways you've supported others in their learning journey. Share these experiences during the interview to show your leadership potential and commitment to team development.
