AI Solutions Consultant for Generative AI & Data Adoption in London

AI Solutions Consultant for Generative AI & Data Adoption in London

London Full-Time 81000 - 99000 £ / year (est.) No working from home possible
M

At a Glance

  • Tasks: Lead AI solutions implementation and user training for clients in the UK.
  • Company: Moody’s Investors Service, a leader in financial intelligence.
  • Benefits: Competitive salary, flexible working options, and professional growth opportunities.
  • Other info: Join a dynamic team focused on innovation and client success.
  • Why this job: Be at the forefront of generative AI and make a real difference for clients.
  • Qualifications: Experience in AI solutions and strong communication skills.

The predicted salary is between 81000 - 99000 £ per year.

Moody’s Investors Service is seeking a Solutions Delivery professional to lead implementations and adoption of generative AI and data solutions for clients in the UK.

You will guide technical onboarding, train users and manage end-to-end engagements, from discovery to deployment, with a focus on AI-enabled workflow improvements.

You will collaborate with client technical teams, Product Management and Strategy, creating dashboards, prompts and documentation for scalable deployments.

#J-18808-Ljbffr

AI Solutions Consultant for Generative AI & Data Adoption in London employer: Moody's Investors Service

At Moody's, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a leader in risk assessment, we offer our employees unparalleled opportunities for growth and collaboration, particularly in the exciting realm of AI and pricing strategy. Joining our Central Product Strategy team means being at the forefront of transformative projects that not only shape the future of pricing but also empower you to make a meaningful impact within a global organisation.

M

Contact Details:

Moody's Investors Service Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solutions Consultant for Generative AI & Data Adoption in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Moody's Investors Service or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Moody's Investors Service.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Moody's Investors Service.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Moody's Investors Service that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Solutions Consultant for Generative AI & Data Adoption in London

Generative AI
Data Solutions Implementation
Technical Onboarding
User Training
End-to-End Engagement Management
AI-Enabled Workflow Improvements
Collaboration with Technical Teams

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Moody's Investors Service.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Moody's Investors Service and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Moody's Investors Service

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Moody's Investors Service uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.