{"id":98478,"url":"https://alion.io/job/faculty-lead-data-scientist","title":"Lead Data Scientist","company":{"id":32303,"name":"Faculty","domain":"faculty.ai","url":"https://alion.io/company/faculty","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":77,"open_postings":44,"ghost_share":0.386,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":196000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Edge AI","optional":true}],"status":"live","first_seen_at":"2026-03-03T07:26:14Z","employer_posted_date":"2026-03-03","last_verified_at":"2026-10-20T07:01:49Z","board_verified":true,"closed_at":null,"days_open":231,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":230},"description":"Why Faculty?\nWe 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.\nWe 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.\nOur 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.\nAI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.\nAbout the team\nOur Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty.\nBecause of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK.\nWhen not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.\nAbout the role\nAs a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. \nThis position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships.\nWhat you'll be doing:\nSetting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability.\n\nDesigning and implementing reliable, production-grade technical solutions, ensuring comprehensive documentation of architectures and specifications.\n\nDefining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams.\n\nLeading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements.\n\nManaging relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long-term commercial goals.\n\nDriving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft.\n\nMentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation.\n\nWho we're looking for:\nYou bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.\n\nYou are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows.\n\nYou have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend.\n\nYou are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure.\n\nYou possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients.\n\nYou excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams.\n\nYou have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success.\n\nOur Interview Process\nTalent Team Screen (30 minutes)\n\nIntroduction to the team (30 minutes)\n\nTake Home Technical Assessment\n\nTechnical Interview (90 minutes)\n\nCommercial Interview (60 minutes)\n\nOur Recruitment Ethos\nWe 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.\nIf 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.\nA 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. 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