"To inspire the world to forecast correctly & empower it to tackle risk"
At nPlan, we develop machine learning algorithms that learn how previous construction projects performed, in order to accurately forecast the outcomes of current and future projects. At present, forecasting risk is a multi-trillion-dollar problem for the built (and to be built) world. We're empowering the construction industry to tackle the challenge of delayed projects differently, through the use of data.
Our purpose isn’t just related to our product, though.
We don't just have a purpose, we live our purpose.
Our purpose statement explains who we are, why we're here, and why the world (including you!) should care about us.
It guides how we interact with each other and heavily influences the way we work, which is underpinned by our three core values.
We set challenges to defy our skills, and work to implement the most efficient solution.
We care deeply and challenge directly by telling the truth, no matter how hard it is.
We always question our current knowledge in order to shape our future growth.
nPlan is solving an incredibly difficult and exciting problem, with huge potential impact. I wanted to be part of a company with ambition, drive and where I’d challenge my thinking every day
— Vahan, ML Engineer
I decided to join nPlan because it is a very innovative startup with an amazing team. I was intrigued by the challenge of working with a large amount of data in a direction that the world hasn’t really explored before. I was also looking for an opportunity where I could have real impact on the direction of the company and the overall success.
— Natalia, Data Scientist
I’ve felt the pain of writing schedules without reliable data and the frustration when it inevitably goes wrong. I want to work in an early-stage VC backed venture, to find a team that is a great fit and learn about AI, a role where I can have an impact at an organisational and industry level and nPlan offered me that.
— Toby, General Manager
• Paid maternity, paternity, adoption & shared parental leave packages
• Conferences, courses & knowledge-sharing networks
• Regular social events
• Annual company retreat
• Cycle to work scheme
• Season ticket loans
• Centrally located London office
• Competitive salaries
• Pension scheme
• Equity share options
• Generous holiday policy
• Flexible working hours & locations
• Health insurance & EAP
• Fitness allowance
• Relocation contributions & Visa sponsorship (role/situation dependent)
Our Machine Learning Paper Club began in 2018 and has since grown to a community of over 1,500 members.
We host a free weekly (remote) meetup on Thursday lunchtimes, where we discuss and keep up to date with the latest advances in Machine Learning. We present papers that are interesting to us, and we'll give you opportunities to present too.
Please click the Meetup link below to join our community!