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Job Location | London |
Education | Not Mentioned |
Salary | £50,000 - £70,000 per annum |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
Blackrock Search are recruiting a Senior Data Scientist for ahybrid tech consulting company. This firm is focused on driving forward innovation in overlooked high barriers industries like rail and infrastructure. Their goal is to build a global technology and consultancy business that helps infrastructure and transport operators, train manufacturers, and asset owners utilise data more efficiently to improve operational performance that ultimately benefits passengers.They are increasingly becoming the top choice within the transport industry for breakthrough level innovation. In order to scale and make an impact they need a world-class team to help make a difference in critical but slow-moving industries.Are you the one who can forever change the transport and infrastructure industries foreverYou will be at the heart of a truly unique movement that will have a massive impact within the UK economy.We are looking for a Senior Data Scientist to lead the analysis, modelling and visualisation of signalling and train performance data with the aim of reducing train delays and improving network capacity (more trains on the UK railway network). To do so, you will work closely with the UK railway operational performance teams to extract valuable insights from previously unused data.As a Senior Data Scientist, you will be responsible for developing algorithms that merge, aggregate and visualise complex signalling & train movement data, obtained from disparate sources. To achieve this, you must be comfortable with big data cleaning, wrangling and visualisation, exploratory data analysis, network graphing and best software engineering practices. You will be expected to lead by example, mentoring and guiding the team and external clients alike. You will most likely be an accomplished data scientist with track record experience of working with different types of data but looking to take on a new challenge in a different industry and on an impactful project.Responsibilities of the role: