The Role in 30 Seconds Full-time Data Scientist Build and deploy cutting-edge AI and ML solutions for diverse clients (from Government to Startups). Gain full-stack delivery experience across an array of industries while benefiting from investment in your professional growth and expertise. Working at Coefficient You'll be involved in a wide variety of projects, from cutting-edge AI solutions for the UK government to building transformative tools across a range of industries. This isn't just a standard Data Science position; you will gain hands-on experience by delivering end-to-end data science and engineering solutions for our clients, alongside building and improving our own internal products. You can also expect plenty of mentoring and guidance along the way: we aim to be best-in-class at what we do, and we want to work with people who share that same attitude. As a unique and fast-growing consultancy, this is an excellent opportunity to make a significant impact and shape our future success. 🚀 About Coefficient Coefficient is a full-stack data consultancy dedicated to helping organisations solve their toughest challenges using data science , software engineering , machine learning , analytics , and artificial intelligence. 🔧 Consulting & Delivery: We partner with clients to deliver end-to-end solutions, combining statistical expertise with agile delivery. This might involve developing cutting-edge models for a UK government agency, or working as an in-house team with a fast-growing tech start-up. 🎓 Training: Beyond consulting, we create and deliver tailored training programmes via workshops, online learning, and hybrid curricula to help our clients build their own internal skills. Past clients include BNP Paribas , EY , Hawk-Eye , the BBC , ACCA, CIOT , and the Metropolitan Police. We enjoy variety in our work. One week, you might be developing high-speed trading algorithms; the next, you could be optimising logistics for delivery drivers or building election forecasting models. 👥 Our Team and Culture Our team is our greatest asset. We invest heavily in professional development through our "10% Time" programme and our annual conference budget. We work with highly intelligent and passionate people who take pride in their work and enjoy a high level of independence. 🤖 Agentic Coding is Core to How We Work We're unapologetically pro AI-assisted development. We expect our Data Scientists to be genuinely good at agentic coding — using tools like Claude Code , Cursor , GitHub Copilot , Windsurf and Codex to deliver faster without ever compromising on quality. We treat this as a genuine, emerging discipline. Knowing how to specify work clearly, drive an agent through a task, and critically review and correct "almost-right" output is a real skill in itself — and one we actively invest in mastering. If you're already running spec-driven or multi-agent workflows, you'll feel right at home; if you're keen to get great at it, we'll help you get there. Requirements Our ideal candidate would: Be fluent in Python and SQL for data analysis, data science and machine learning, and comfortable across the Python Open Data Science Stack (pandas, NumPy, scikit-learn, matplotlib, Seaborn). Have hands-on experience with at least one LLM application pattern — Retrieval-Augmented Generation (RAG), fine-tuning, or building LLM evaluation suites — and care about measuring quality (hallucination/faithfulness, LLM-as-judge) rather than shipping on vibes. Be comfortable with the building blocks of modern AI systems: embeddings and vector databases , prompt engineering , and working with frontier model APIs (OpenAI, Anthropic, Google). Think about getting models into production — versioning, monitoring and iterating (MLOps / LLMOps), not just notebooks. Be excellent at agentic coding — comfortable driving tools like Claude Code, Cursor and GitHub Copilot, and skilled at reviewing and correcting their output (see "🤖 Agentic Coding is Core to How We Work" above). Enjoy sharing knowledge, experience, and passion with others, and have great communication skills — you'll write and contribute towards presentation slide decks to showcase our work during sprint reviews and client project demos. We recognise that diverse teams are the most successful teams, and we know some people are less likely to apply for the role unless they are 100% qualified . Please do not worry if you don’t meet every single requirement listed. We strongly encourage you to apply if this role excites you and you believe you have the potential to grow here. If you are unsure, please reach out to us - we would genuinely love to hear from you. We are committed to fostering a diverse, inclusive, and empowering culture at Coefficient. 📍 Location and Eligibility Requirements This is a UK-based, hybrid role . While we operate remotely for most of the month, we value in-person collaboration and regularly gather the whole team. The successful candidate must be able to travel to London for on-site work approximately 2-4 days per month. Eligibility: You must already have the right to work in the UK. Visa Sponsorship: Please note, we are unable to offer sponsorship for a Skilled Worker visa for this position. Students: We are unable to consider applications from candidates currently in full-time education (including PhD students). The Basics 📍 Location: We are based in Central London, but we are remote-friendly. You may be required to work on-site at clients’ offices. 💰 Salary: £38,000 annual salary with a meaningful uplift following a performance review at the successful 3-month probation mark. 🏖 Holiday: 33 days of annual paid holiday, including bank holidays. 💷 Pension: We're set up with Smart Pension to make sure we're contributing to help you save for retirement. 📈 Performance Reviews: Regular check-ins to ensure you’re progressing in your career and maximising your potential. 🚀 Opportunity: To be part of a unique and exciting company that pri