ApplySarthi

Principal Data Scientist

Faculty

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2,218 open scientist roles across 348 companies are on ApplySarthi right now, most of them in Bengaluru (136), Hyderabad (68), Delhi NCR (33).

What scientist roles keep asking for: Python (61%), Machine learning (48%), SQL (28%), Deep learning (18%), C++ (18%), LLMs (18%), R (18%), Java (17%) — counted across their open postings here.

Data Scientist jobs in the United Kingdom · Remote Data Scientist jobs · Generative AI jobs · Machine learning jobs · Python jobs

Faculty has 34 open roles listed here.

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Questions you are likely to be asked

  1. Why do you want to join Faculty?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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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. About the team Our Defence team is focused on building and embedding human centred 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. Because 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. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Principal Data Scientist at Faculty, you will drive high impact transformation within our Defence team by taking ownership of complex machine learning delivery and sector specific strategy. You will act as a trusted technical authority and domain expert, leading project scoping, technical selling, and client management to deliver exceptional value. Balancing deep business knowledge with advanced analytical skill, you will shape cutting edge AI solutions, build robust client partnerships, and mentor data scientists across ambitious initiatives. What you'll be doing: Owning and growing a strategic portfolio of machine learning work specifically tailored to the Defence sector. Translating client challenges into technical roadmaps by leading project scoping, delivery, and client engagement. Writing exemplary, production grade code to set technical standards on our most sophisticated delivery projects. Serving as a technical authority on machine learning across Faculty and representing our capabilities within the wider community. Partnering with commercial and delivery teams to drive technical selling, pitching, and business growth. Mentoring and guiding junior data scientists through complex problem solving, technical planning, and execution. Who we're looking for: You bring deep domain expertise within Defence or other industries, allowing you to quickly spot opportunities and maximise impact. You enjoy mentoring junior colleagues and have prior direct management experience, inspiring them to continually stretch and grow their technical skill. You bring broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language Models You have advanced coding skills in Python and proven experience building and maintaining scalable codebases. You excel at making pragmatic decisions, choosing optimal solutions based on time, resources, and complexity. You are an engaging communicator who builds trust effortlessly with senior stakeholders and technical counterparts. The Interview Process Talent Team Screen (30 minutes) Introduction to Business Unit Technical Director (30 minutes) Technical Interview (90 minutes) Commercial & Principles Interview (90 minutes) 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. Find Jobs in United Kingdom on Arbeitnow

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Listed on arbeitnow · posted 2026-10-17. ApplySarthi collects openings and links to application pages; the role is advertised by Faculty, not by us.