With the advent of ‘big data’, including historical, real-time and new location based datasets, traditional transport modellers and planners are now able to consider more activity based models. This requires innovative ways to manage and analyse substantial datasets and draw inferences between activities and real world controls. As such transport planners more than ever need mathematical and statistical analysis skills to identify trends and variations, and to estimate the significance of observed relationships or confidence limits of statistics to advance established modelling techniques.
Atkins continue to develop our Data Analytics capabilities both in transport modelling and across the wider transport planning profession. We are looking for an appropriately skilled individual to help shape, develop and lead our capabilities supported by existing data analysts / scientists and transport planners with existing domain knowledge already embedded within our teams.
The role will include:
• Leading on developing the data analytics agenda within the Consultancy Practice
• Project Management of data analytics and other transport modelling project studies
• Client liaison and sales
• Identification and prioritisation of data analytics opportunities
• Business case development
• Internal liaison with internal teams including Atkins Intelligent Mobility and Group IS teams relating to data analytics.
Due to the nature of the role we are able to consider multiple locations for this vacancy - London, Birmingham, Epsom and Manchester.
We value a combination of analytical, leadership and communication skills, with a creative and enthusiastic approach to problem solving. You will be an experienced transport modeller and someone who is also able to drive the data analytics capabilities within the consultancy practice of Atkins and identify and explore new opportunities, whilst also questioning existing practices to define enhancements and improvements. You will have good transport modelling and data analytics domain experience and contacts from across the disciplines enabling you to work on unique and leading-edge projects with a local focus whilst making a ‘game change’ in transport modelling and planning as a whole
Our ideal candidate will come from an analytical background and must possess a good first degree or equivalent in mathematics, physics or engineering. All applicants being considered must be eligible to live and work in the UK.
The candidate shall demonstrate good experience in a selection of the following areas.
• Experienced project manager across transport modelling / data analytics disciplines
• People management experience and skills
• Bid writing and business case development experience
• Specialist tools and techniques and knowledge in building, adapting, calibrating, refining, extending and running multi-mode models.
• Collection and processing of model data from highway and public transport systems and travel demand and, in the use of industry databases.
• Knowledge of Department for Transport Modelling guidance (WebTAG) and other best practice.
Database Design and Development
• knowledge and experience in designing and working with structured and unstructured data
Statistical Modelling and Bespoke Analysis
• Ability to develop specialist tools and techniques for bespoke analysis of travel behaviour, in accordance with good practice, to gain quantitative insight on consumer behaviour.
GIS (Geographical Information Systems) Development & Analysis
• Ability to undertake spatial analysis including the identification and sourcing of relevant datasets and interpreting results.
• Experience of producing high quality reports and presentations for technical and ‘lay’ audiences, summarising complex data and analysis.
• Ideally the candidate can show knowledge of a selection of the following areas.
Data System Design and Development
• Developing data solutions with links to transport modelling (eg HADOOP, Cloud Sytems etc)
GIS / Data Transformation
• Automating the transformation of data and data engineering (eg FME software / MapBasic etc)
• Knowledge to undertake sample design to ensure reliable datasets
Location-Based Technology Data
• Their knowledge of the structures used by typical datasets storing information from mobile, GPS, Bluetooth, WiFi or similar devices.
• Their understanding of the challenges of converting such data into structures suitable for strategic analysis of multimodal travel demand.
• How the analysis of such data can be used to reduce, over time, the reliance on traditional forms of travel data collection.
• Procedures to allow for confidential data to be managed, in particular personal data.