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Python Developer for Data Science Team
at Fluidly

go back to Developer Jobs
  • London
  • fulltime
  • ₤45000 - ₤55000 per year

£45-55k, depending on experience
Mainly Python data science stack, JavaScript a bonus.
Holborn office

*About Fluidly*

Fluidly is a seed stage fintech startup that’s still in private beta, launching later in 2017. We’re building a new category of intelligent business finance - fundamentally rethinking the way that SMEs plan and manage cashflow using technology. We’ll tell you much more in person… we’re still a little under-wraps though were recently featured in the Sunday Times on the future of Open Banking.

Fluidly is backed by some of the UK’s leading technology investors and we have a top-tier team drawn across engineering, data science and machine learning from leading firms and universities. Our Founder/ CEO is a serial entrepreneur, recently awarded an OBE for services to Business:

*About the role*

You will be reporting to the CTO and will be working very closely with the Chief Data Scientist and the rest of the data science team. You do not need to be an experienced data scientist but you must have a quantitative mindset and interest in data science projects. It’d be great to work with an experienced Python developer that is interested in building data science experience.

Initially, you will help with building and deploying the data dependent aspects of our private beta with full market launch later this year. After our launch we expect rapid growth in the size and complexity of our datasets. This will mean a focus on deployment of robust data pipelines, shipping new models and optimising/refining the existing codebase.

We are looking for a true Pythonista that will ensure our data science engines are built to the highest standards. There will be significant crossover between the work that you and the data scientists do. However, you’ll be the guru keeping things Pythonic and the data scientists will be there if the maths and stats gets a bit hairy!

In terms of technology, the data science team uses Jupyter Notebooks with the usual Python data science libraries. Our data science apps are currently written in Python with Flask APIs and deployed to a Kubernetes cluster. The web app is a full stack javascript (react + node) monolithic application.

Take the lists below as a guide - you don’t need to have everything.


numpy, pandas, scikit-learn
SQAlchemy / other ORM


3+ years professional experience
Strong quantitative background
Fintech/finance experience
Start up experience
SaaS experience


Core Python with data science frameworks
Core programming and software engineering
Statistics and machine learning
Problem solving

*Personal attributes*

Quick to learn
Passion for technology and startups
Excellent communicator


The most competitive salary we can afford. We are an early stage startup and have to make our seed funding last. This means we can’t afford to compete directly on salary. As we grow, we will close this gap quickly. Dependent on experience (DOE).
Meaningful equity. We want people to have a serious stake in the business so that all of our interests are aligned. It’s your baby too. DOE.
25 days holiday - and we will make you take it. Sure, there will be some long days, but burnout is not big or clever.
Limitless challenge and scope for development. You are joining us at a very exciting time and have the opportunity to take this role in your preferred direction as we grow.
As much of our time as you need. You professional growth is important to us, and we want to help you to be awesome. We want the best data scientists and will support you in attending conferences and ongoing learning. It’s not just technical, Caroline will be helping build your commercial and business skills too, if that’s something you are interested in.
Sensible problem that will add real value to real people. This isn’t a HBO parody company.
Flexible working where possible. We like being in the office because it should be fun. All the same if you need to leave early on ${DAY} to make the school run, that’s no problem.
The best kit money can buy. Even that absurdly priced escape-key-less macbook. If you want it.
All the crisps you can eat.

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