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Data Scientist in London

Fluidly

Salary
50,000 - €82,000
Stock
0.0 - 1.0%
Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

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.


 

About Fluidly

  • Fintech

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