Lead Data Scientist - Transport

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.

We believe in the power of ingenuity to build a positive human future in a technology-driven world. As strategies, technologies and innovation collide, we create opportunity from complexity.

1. Bringing Ingenuity to Life.

Those that start using AI and advanced data analytics early will gain the most. While the technology is yet to live up to the hype, using it now gives a chance to get ahead, learn and improve to drive long-term value.

Transport, Travel and Logistics:

Our team operates across a number of sectors, and this opportunity is focused on working with clients within Transport, Travel and Logistics

We work on some of the most challenging assignments in the Transport sector to make a real difference for our clients. We work in roads, rail, aviation, maritime and logistics, and support world-class future transport developments such as autonomous vehicles and drones. Recent high-profile assignments include:

• Helping Virgin Hyperloop One reinvent transport by supporting their plans for complex traffic control software
• Helping Highways England to reduce traffic congestion using dark data insights
• Working with Network Rail to protect the UK’s rail infrastructure from cyber attack.

Job Description

It is essential to start with developing and deploying use cases and meanwhile building a capability around artificial intelligence, machine learning, and advanced data analytics. It’ll be a key differentiator in the short term, and a necessity in the long term.

In recent projects our team have:

• Analysed the blogosphere to identify influencers
• Used voice and text analytics to predict customer sentiments and Net Promotor Scores
• Created an internet of things trial for a FTSE 100 company
• Used unstructured data to predict breaches in ethical behaviour of global organisations
• Used deep learning to uncover optimal settings to make a pharmaceutical manufacturing process 15% more efficient
• Analysed live audio data to create individual sound zones
• Used neural networks to detect patterns in massive highly non-linear time-series.

Qualifications

• A degree, Masters or PhD from a leading university in mathematics, operational research, physics, finance and economics or computer science
• A genuine affinity for problem solving - an inquisitive mind who wants to solve the trickiest challenges whilst working with incredible colleagues
• Existing experience in consulting would be beneficial although we equally like in-house experience
• Experience of conducting analysis for evidence based decision making, developing models and decision support tools or building business cases for investment decisions
• We work independently of any particular platform so we can provide unbiased client advice and choose the best approach for our clients
• Existing experience in consulting would be beneficial although we equally like in-house experience
• An inquisitive mind that wants to solve the trickiest challenges whilst working with incredible colleagues.

For senior candidates:

• Experience of leading teams and developing people’s skills and capabilities
• Experience of leading and delivering solutions that involved any of the following specialisms: advanced analytics and data science, big data, cloud based business intelligence and data visualisation.
• Experience of leading and delivering complex business intelligence and analytical projects in consulting or industry.