We are looking for a Data Scientist to join the Coefficient team full-time as soon as possible. You can expect hands-on experience of delivering data science & engineering projects for our clients as well as working on our own 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.

About us

💼 Coefficient is a data consultancy offering data science, engineering, machine learning, and other AI-related services, as well as bespoke training courses.

🔧 We are driven by the challenge of solving real-world problems by combining statistical techniques with a lean start-up mentality and a technical skill set.

🎓 We have designed and delivered data training courses for clients such as BNP Paribas, EY, Hawk-Eye, the BBC, and the Metropolitan Police. Our consulting work is highly multidisciplinary; in a single week we may be writing trading algorithms, routing delivery drivers, and predicting elections.

👥 Our team is our greatest asset, as such we invest heavily in professional development. We work with highly intelligent and passionate people who take pride in their work and enjoy a high level of independence.


You may be a fit for this role if you…

  • At least 1 year's experience as a Data Analyst or Data Scientist, using tools such as Python for data analysis, data science, and/or machine learning.
  • Have used any libraries in the Python Open Data Science Stack (e.g. pandas, NumPy, matplotlib, Seaborn, scikit-learn).
  • Enjoy sharing your knowledge, experience, and passion with others.
  • Have great communication skills.

Please note that we don’t expect all of the above. We know some people are less likely to apply for the role unless they are 100% qualified. Our goal is to promote a diverse, inclusive and empowering culture at Coefficient. If this role sounds exciting to you, please consider applying below. If you’re unsure, please still get in touch — we would love to hear from you.

The successful candidate should be able to travel to London to work on-site for approximately 2-5 days per week once we’re out of lockdown. This means you must be UK-based with eligibility to work in the UK. Please note that we are unable to consider your application if you are currently in education.

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 post-COVID.

💰 Salary: £35,000 - £45,000 depending on experience

🏖 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: Monthly 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 prizes excellence of work, working closely with the founder and become part of a dedicated and forward-thinking team. We want you to push yourself to learn new skills and be recognised as one of the best in your field.


💸 CoronaBonus: Additional £50 CoronaBonus per month while we have to work from home to help with things like good internet connection during lockdown. Outside of COVID times, we pay for local co-working spaces for the team

🎓 Learning and Professional Development: Potential to improve skills through paid courses and a subscription to O'Reilly Online Learning. 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.

📚 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, and lockdown has seen us get inventive with virtual socials, including board games and cocktails!

What to expect from the hiring process:

  • Round 1: We look through your application (CV, Cover letter, screening questions and the code on your portfolio/website/Github/Gitlab) to see if you meet the initial requirements for this role. Please note that if you do not have code available for review we are unable to proceed with your application beyond this stage.
  • Round 2: You’ll have a 30 minute interview with someone on our lovely Operations Team to get a sense of your personality and your interests outside of Data Science. This is not a technical interview.
  • Round 3: We’ll book you in for a 2-hour slot to complete a Code Test, which mirrors tasks you can expect to do at Coefficient.
  • Round 4: You’ll have a 1-hour Technical Interview with someone from our amazing Data Team - this includes pair programming and a deeper dive into the required skills for the role.
  • Round 5: You’ll have a chat with our CEO, John Sandall, to see if our expectations align.

Applications for the role are considered on a rolling basis and there is no fixed start date. It usually takes us a week to get back to you after each round. We are unfortunately unable to offer feedback before Round 2. Feedback for subsequent rounds is provided if requested.

Please make sure Workable is not included in your spam filter. We’ve had issues in the past of being unable to reach candidates due to our emails being miscategorised as spam.

Due to a large volume of applications we are unable to consider applicants without a cover letter or submitted screening questions.

Salary range £35,000 — 45,000

Depending on experience