Fluidly | London, UK | ONSITE | Data Engineer, Python Engineer, Data Scientist, Full Stack Engineer
We want to solve the biggest problem facing businesses – poor cashflow. We use technology to provide real-time cashflow forecasting and automated credit control.
We recently closed a £5M funding round led by Nyca Partners [1]. We're one of Wired's hottest European startups [2] and have received numerous industry awards. We're hiring across the team, in particular in engineering and data science.
We're a friendly and enthusiastic team using GCP, AWS and Heroku. We're about to go all-in on stream processing on GCP, so we're especially interested in people with experience in streaming. In data science, we use statistical and ML models to forecast time series and solve other problems within business finance.
We want to solve the biggest problem facing businesses – poor cashflow. We use technology to provide real-time cashflow forecasting and automated credit control.
We recently closed a £5M funding round led by Nyca Partners [1]. We're one of Wired's hottest European startups [2] and have received numerous industry awards. We're hiring across the team, in particular in engineering and data science.
We're a friendly and enthusiastic team using GCP, AWS and Heroku. We're about to go all-in on stream processing on GCP, so we're especially interested in people with experience in streaming. In data science, we use statistical and ML models to forecast time series and solve other problems within business finance.
For more info and to apply visit https://fluidly-london.workable.com.
If you have any questions before applying, feel free to email me at tom.phillips@fluidly.com.
[1]: https://fluidly.com/blog/fluidly-raises-a-5m-series-a-round/ [2]: https://www.wired.co.uk/article/best-startups-in-london-2018