Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Gartner
North Yorkshire
20 hours ago
Create job alert
Overview

Analyst will create Gartner research and provide related advice to clients and support the sales force in new sales and client retention. The research provides insight, predictions and actionable advice to clients in the area of AI, GenAI, Machine Learning (ML) and Data Science. This includes writing about, presenting and advising organizations about AI technologies, governance, best practices, market trends and vendors and their solutions, service providers, governance and best practices in AI.

What you will do
  • Conduct research and analysis in AI, GenAI, Machine Learning and Data Science. Specific areas of focus will include strategy, best practices, market trends, technologies and vendors.

  • Applicable experience in an industry discipline and deep knowledge of a particular market, industry or role; understanding of both technology and industry to include the market, products and user strategies in specific areas.

  • Cover the specified areas as well as applicable adjacent areas, while maintaining a view across a broad spectrum of the market, to produce innovative, thought-leading, impactful, fact-based research.

  • Identify critical questions facing Gartner clients and crafting appropriate research methods to address them. Provide in-depth analysis based on extensive client input, collaboration with other Gartner analysts and personal experience.

  • Lead a body of research and be recognized in the industry as a subject matter expert – develop a following.

  • Create and deliver high value presentations and other materials.

  • Assist the Sales organization in selling and retention on topics covered by the Analyst's team.

  • Provide high quality and timely research peer review. Provide mentorship and support team members.

  • Actively participate in or lead research projects as needed and collaborate effectively with peers.

Who you are
  • Articulate and succinct communication skills; ability to explain complex ideas effectively.

  • The ability to communicate credibly and effectively with executive audiences (executive presence) and presentation skills.

  • Exceptional analytical skills: ability to apply conceptual models, recognize patterns and draw and defend conclusions. Ability to think abstractly and strategically is a must.

  • Strong project planning and management skills.

  • Ability to take direction and be self-directed in executing against plans.

  • Strong collaboration ethos, influencing and leadership skills.

  • A motivated, creative individual who can grow research depth and skills.

What you will need
  • 10+ years of experience within the technology field, specifically AI/ML.

  • relevant qualifications and/or relevant experience preferred

  • Technology and business knowledge of end user strategies, AI/ML market, vendors and products.

  • AI/ML model development, deployment and management.

  • Application development and use implications of AI

  • AI Governance

  • AI vendors comparisons including cloud based AI services (ex. Amazon, Google, Microsoft)

  • Bachelor's degree or equivalent experience; Graduate degree preferred

  • Willingness and ability to travel up to 25% (where applicable)

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it\'s productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner is an Equal Opportunity Employer and provides equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status. If you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability, you may request reasonable accommodations by contacting Human Resources at +1 (203) 964-0096 or by sending an email to .

Job Requisition ID:101413

Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy

For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.


#J-18808-Ljbffr

Related Jobs

View all jobs

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director/Snr Director, Data Science Consulting - Machine Learning/Artificial Intelligence (ML/AI)

Senior Data Science Director, London

Senior Data Science Director

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.