National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Product Designer AI Specialist

Datasite
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist - AI (Basé à London)

Principal Data Scientist - AI (Basé à London)

Data Architect - Supply

Quantitative Developer - Trading Algorithms (London)

Principal Data Architect

Principal Applied Data Scientist (Basé à London)

Job Description:

We are looking for an experiencedAIProductDesignerto join our distributed team, building solutionsthat truly resonate with ourglobalcustomerbase.As a key contributor, you will be detail-oriented, but also capable of seeing the bigger picture. This is an opportunity to innovate in a complex space and will suit someone with a passion forProduct Led Growth (PLG),experimentation,evidence-based decision-makingand building greatuserexperiences.You will work alongside a dedicated Product Managerwith a cross-functional teamincludingAI/ML scientists and engineersto leadGenAIinitiatives across theDatasiteplatform.

Responsibilities:

  • UX Design:Lead and execute design projects from concept through completion, ensuringhigh standardsof design quality and user experience.Workwith product teams to understand user needs and business goals, translating complex requirements into clear, customer-centric design solutions.

  • Strategy:Drive theGenAIdesign vision and strategy across the platform, advocating for user-centered design practices and ensuring design consistency and coherence throughout all product touch points.

  • Leadership:Elevate the design team by providingGenAIguidance on best practices, design processes, and innovative approaches.

  • Trust:Maintainand develop customer trust while enhancing the usability and functionality of AI-powered features.

  • User Research:Conductresearch at all stages of the product lifecycle, from early strategic discovery through tousability testing and gatheringuser feedback to continuously improve the product experience.

  • Product Led Growth (PLG):Implement andchampionProduct Led Growth strategies, fostering a user-centric approach that empowers users to discover, adopt, and derive value from the product independently.

  • Cross-Functional Collaboration:Leadand work closely withacross-functional teamthrough activeparticipationin stand-ups and other Agile ceremonies,fostering collaboration and ensuring alignmentrequiredto deliver successful product outcomes.

  • Security & Compliance:Maintaina security-first mindset in the product development process, ensuring robust safeguards, data protection, and compliance with legislation and standards.

  • Market Analysis:Perform research to stay informed about industry trends, emerging technologies, and competitors, using these insights to keep our products competitiveand at the forefront of innovation.

Requirements:

  • 8+ years' experience as aUX/Product Designer

  • Proven experienceresearching,designing, anditerating post-launch onGenAIproductsor features(Experience with AI Search preferred)

  • In-depth knowledge of how generative AI models work, including Natural Language Processing (NLP), image generation, and other AI-driven designtools

  • Familiarity with AI tools and platforms such asOpenAI'sGPT, DALL-E,Midjourney, or other generative AI frameworks

  • Understandingofthe ethical implications of AI, including issues of bias, privacy, and transparency

  • Skills in identifying and mitigating biases in AI models to ensure fair and inclusive userexperiences

  • Experience with APIs and integrating AI services into digitalproduct

  • History of working with and contributing to a Design System

  • Solid understanding of UX Laws and visual design principles

  • A passion for speed, quality, and evidence-based learning and decision-making

  • Demonstrated experience with enterprise products in complex domains such as financial services,healthcare, andeducation

  • Technical aptitude and attention to detail,while always keepingthe bigger picturein sight

  • Exceptional strategic thinking abilities, plusa demonstratedcapacityto convert strategy into actionabletacticalplans

  • Ability toanalyzedata to understand userbehaviorand improve AImodels

  • Knowledge of statistical analysis and data visualization tools

  • Strong problem-solving skills, with a results-oriented approach to overcoming challenges

  • Strong interpersonal, communication, and presentation skills, with the ability toevangelize,influence, engage, and collaborate effectively across various teams and levels of the organization, as well as customers andpartners

  • A demonstrated ability to thrive in a fast-paced, dynamic environment and manage multiple prioritieseffectively

  • Experience working with cross-functional Agile teams in remote / hybridenvironments

  • Experience with software such as Figma, Dovetail,Pendo, and other BI (Business Intelligence) tools, as well as productivity / collaboration tools such asProductboard, Monday, JIRA, Slack, Mural, Office 365 etc.

  • Self-starter and quick learner

  • A passion for speed,quality,and evidence-based learningand decision-making

As a global organization, Datasite knows that diverse perspectives are essential to our success. We’re committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.

National AI Awards 2025

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.