{"id":3121444,"url":"https://alion.io/job/faculty-senior-data-scientist-4","title":"Senior 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":81,"open_postings":50,"ghost_share":0.32,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":88000,"max_usd":176000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":46},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-10-22T20:55:15Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T15:33:40Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"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\nBringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.\nWe partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all.\nAbout the role\nAs a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership.\nYou will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.\nWhat you'll be doing:\nLeading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector.\n\nConceiving the core data science approach and designing the associated robust software architecture for new engagements.\n\nMentoring a small number of data scientists and supporting the professional growth of technical team members on projects.\n\nPartnering with commercial teams to build client relationships and shape project scope for technical feasibility.\n\nContributing to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open-source projects.\n\nEnsuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.\n\nWho we're looking for:\nYou possess senior experience in a professional data science position or a quantitative academic field.\n\nYou demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch).\n\nYou have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.\n\nYou bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture.\n\nYou exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework.\n\nYou are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule.\n\nOur Interview Process\nTalent Team Screen (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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