This well-funded Cambridge start-up is seeking a Data Scientist with some demonstrable commercial experience to form a key part of their modelling and optimisation team, working within the energy distribution sector. The challenges that the job presents include the modelling of energy assets (from solar farms to diesel generators) by applying machine learning techniques.
Working at this is a small and agile company, you must be able to work collaboratively with the software development and commercial teams. You will also have the ability to identify real-world problems, create abstractions of these systems and experiment empirically with the devised models.
- At least a 2.1 (Hons) degree in a quantitative subject from a world-class university, with good A level grades too; a PhD would be of interest
- Solid experience with Python including machine learning, data manipulation and analysis
- Good knowledge of developing deterministic and stochastic models
- Some experience of effective data visualisation
This is an excellent opportunity to join this dynamic company in a market-leading position in the management of energy assets. In return, you will receive a very competitive salary with excellent benefits, working with a talented team of mathematicians and engineers.
Keywords: Maths Modelling, Python, Forecasting, Machine Learning techniques, Algorithms, pandas, numpy, sklearn, Spark, Hadoop, data scraping, real world, Cambridge, 1st, PhD.
Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.