Analytics, Data Science, Data Engineering & AI Specialist

Womenindata — United Kingdom · Posted ~3 hours ago

Full-time Hybrid

Skills

data science data engineering analytics AI data analytics machine learning

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Summary ✨ AI‑Generated

Work on analytics, AI, data science, and engineering initiatives that help organizations transform through advanced technology. The role welcomes candidates with strong functional skills and curiosity.

Highlights

Hybrid opportunity working on responsible AI initiatives across diverse sectors with experienced technical teams.

Description

Location: Full time - London - Hybrid We are currently recruiting multiple of this role across our various business units. Please do apply if you have the relevant functional skills; don't worry if you do not have the specific industry exposure. Why Faculty? 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. 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. Looking for your next role in data, analytics, AI, engineering, or leadership? Check out Faculty's latest opportunities: Data ScientistsSoftware EngineerMachine Learning EngineerData ScientistPrincipal DesignerDelivery ManagerResearch ScientistOpportunities range from remote and hybrid roles to on-site positions across multiple sectors. #DataJobs #AnalyticsJobs #DataScience #DataEngineering #AIJobs #Hiring 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. Women in Data® advertise roles on behalf of our partners, alliances, and members. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community. Stay connected! Follow us on LinkedIn for updates on career opportunities and more.