faculty - Senior Associate

London, United Kingdom3w ago

In Office Senior EMEA Life Sciences Artificial Intelligence Associate Business Manager Unit

Requirements

• You have prior consulting experience delivering technical transformation projects • You've worked in a Life Sciences company, or with Life Sciences clients • You've worked alongside technical experts in Data Science / Machine Learning / Software engineering to scope, design and deploy a solution • You demonstrate analytical thinking, can clearly communicate ideas, and synthesise complex information • You have external client-facing experience and have built trusted relationships which have contributed to the overall success of projects • You understand Agile and related methodologies and the basis of iterative development and continuous delivery • You are thoughtful and proactive in ambiguous situations, keen to take initiative and own finding solutions to challenges • OUR INTERVIEW PROCESS: • 1. Talent Team Screen (40 mins) • 2. Introduction Interview (60 mins) • 3. Case Study Interview (60 mins) • 4. Interview with Business Unit Director (30 mins) • OUR RECRUITMENT ETHOS • We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. • If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. • A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.

Responsibilities

• Managing individual work streams to support the successful delivery and implementation of bespoke AI solutions. • Working side-by-side with life sciences stakeholders to understand critical mission challenges and user needs • Conducting open-source analysis to support the development of cutting-edge AI tools • Translating complex operational requirements into clear user stories for delivery and engineering teams. • Designing and testing workflows that support user-centric decision-making in high-stakes environments • Collaborating closely with technical teams to ensure projects run smoothly and solutions meet customer needs • Contributing to internal thought leadership, strategy, and capability development across the team

Benefits

• We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. • We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. • Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. • AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.