Data Scientist
Listed on 2026-03-07
-
IT/Tech
Data Scientist, AI Engineer, Machine Learning/ ML Engineer, Data Analyst
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.
As a unique and fast‑growing consultancy, this is an excellent opportunity to make a significant impact and shape our future success.
🚀 About CoefficientCoefficient 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 curriculum 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 CultureOur 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.
Our ideal candidate would:
- Be comfortable using Python and SQL for data analysis, data science, and/or machine learning.
- Have used any libraries in the Python Open Data Science Stack (e.g. pandas, Num Py, matplotlib, Seaborn, scikit‑learn).
- Enjoy sharing knowledge, experience, and passion with others.
- Be passionate about leveraging the latest LLM tooling for accelerated AI‑enhanced delivery without compromising on quality.
- Have great communication skills. You will be expected to 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 RequirementsThis 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).
📍
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…
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