Data Scientist

Coefficient

Data Scientist building and deploying AI and ML solutions for diverse clients at Coefficient. Gain full-stack delivery experience with investment in your professional growth.

Posted 6/24/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £38,000 per yearWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

💸 Co-working Spaces: Regular co-working days at different locations in London with the team plus full access to the Hubble co-working network at all times to use a space near where you live.
🎓 Learning and Professional Development: Potential to improve skills through paid courses and subscriptions. We encourage all our team to engage with professional communities, we actively sponsor PyData Meetups and Humble Data, and we provide additional support for anyone wishing to speak at meetups/conferences.
🎟️ Conference Budget: £1000 per employee in year 1, rising to £2000 by year 3. This can help cover tickets, accommodation, and travel to attend relevant conferences.
👂 Spill: All-in-one mental health support programme with on-demand access to a variety of support. We cover 8 hours of therapy with a remote therapist for each team member every year, worth up to £520.
🧠 Headspace: Paid membership to Headspace to encourage good daily mental practices.
📚 10% Time: 4 hours per week dedicated to improving skills or pursuing your own project.
💻 Laptop & Peripherals: Company-owned Apple laptop plus peripherals such as a monitor and keyboard, for making remote working both comfortable and safe.
💃 Team Culture: We have a fantastic small team who enjoy socials together - everything from guided walking tours to escape rooms to Bake Off experiences.

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Hard Skills & Tools

PythonSQLdata analysismachine learningpandasNumPyscikit-learnmatplotlibSeabornMLOps

Soft Skills

communicationmentoringknowledge sharingcollaborationproblem-solvingattention to detailadaptabilitycritical thinkingleadershipagentic coding