Fluidly is a seed stage fintech startup launched in October 2017.
We’re building a new category of intelligent business finance –
fundamentally rethinking the way that SMEs plan and manage cashflow
using technology.
Fluidly is backed by top-tier investors across technology and finance
- Octopus Ventures, Anthemis and Nyca Partners as well as leading
angels. We have a brilliant team drawn across engineering, data science
and machine learning from leading firms and universities.
*About the role*
We are looking for a data scientist to design and implement
data-driven models that will fundamentally change the way SMEs run their
finances. You will be working on a range of tough statistical and
machine-learning problems that form the basis of our product.
You'll have the opportunity to work with large scale data sets of
banking and accounting transaction data. As a winner of the Nesta Open
Up Challenge Fluidly has access to one of the largest banking
transaction data sets ever released. You will develop novel approaches
to solve complex, real-world problems that millions of businesses face -
forecasting cashflow and managing money.
In terms of technology, the data science team uses Jupyter Notebooks
(with core Python data science libraries) but you are welcome to use
your language of choice for exploratory analysis. 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.
*Technology*
Python
numpy, pandas, scikit-learn
Flask
SQLAlchemy/other ORM
Nodejs
MongoDB
Postgres
Redis
Kubernetes
Git
*Experience*
Take the below as a general guide, you don't need to have everything.
We're looking for exceptional people that are willing to learn fast:
Outstanding track record of achievement, ideally, a masters or advanced degree involving machine learning and statistics.
Strong quantitative background
Industry data science experience
Start-up experience
*Skills*
Core Python with data science frameworks
Statistics and machine learning
Problem solving
*Personal attributes*
Curious
Humble
Quick to learn
Passion for technology and startups
Excellent communicator
*Continued Learning*
Your 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.
We have strong links with top universities and academics. As the
team grows we will begin holding regular ML study sessions - an
opportunity to knowledge share and deep dive into areas outside of your
core focus.
It’s not just technical, Caroline will be helping build your
commercial and business skills too, if that’s something you are
interested in.
*Compensation*
The most competitive salary we can afford and dependent on experience.
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.
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.
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.