Graph analytics, Information Intelligence, Linear Algebra, Machine learning techniques, matplotlib, NumPy, Pandas, Python Programming, Scikit-learn, SciPy, seaborn, Statistics, TensorFlow
We are looking for a Machine Learning Research Scientist to join our team.
In this role, you’ll be working directly with our research, engineering and data science teams to help solve some of the most challenging problems facing the construction industry.
We want to inspire the world to forecast correctly and empower it to tackle risk, thanks to our unique ability to forecast the outcomes of construction projects. We can change how construction projects are managed and executed, and will lead us to build the world’s largest infrastructure bank in the process. A crucial part of getting there is being able to accurately forecast delays and risk on for very large construction schedules.
We're working with some of the largest infrastructure projects in the world (think HS2, Heathrow, Crossrail), which means an opportunity to have a significant impact on the world around us, and what it will look like in the future, from the very first day.
You’ll be joining a world class and very well funded team, backed by top investors including GV (formerly known as Google Ventures) that all believe in the future we are creating. We’ve been on a tremendous growth trajectory for the last three years, and thanks to our latest $18.5m investment round we have even more ambitious growth plans for 2022 and beyond, scaling our product and team at an exciting pace. We think a lot of our success is due to our strong sense of culture.
We are a data driven company heavily focused around product, with engineering squads (we use the Spotify model) that align directly to user needs, and have a lot of autonomy. You will be part of one of the squads, working in collaboration with other machine learning and data scientists and engineers to draw valuable insight from the company’s large database of schedules.
What we need you to do:
You will join our newly formed nPlan’s Experimental Research Department and report to its Director. You can read more about nERD at nerd.nplan.io. You will work in tight collaboration with our diverse research, data science and engineering teams trying to solve the most challenging problems in and beyond machine learning with a potential to revolutionise the construction industry.
We would like you to have:
What working at nPlan will be like:
At nPlan we are building the world's first system to understand construction project planning. We make heavy use of machine learning to forecast outcomes of construction projects before the first shovel hits the ground. Our vision is that all construction projects should be built on time and budget, through a better understanding of plan outcomes. We are bringing certainty of the outcome to the industry, plan first.