David Rickmann

Data Scientist



I am a highly experienced Data Scientist with over 15 years of experience.
I’ve worked on projects ranging from sole data analyst on single day studies to leading the modelling for successful multi-billion-pound infrastructure bids.

I’m fluent in SQL, R, Python, Tableau, Microsoft BI, and many other technologies and have led training sessions to share that expertise with others.


  • Transport as a System
  • Robotics
  • Data Science


  • BEng (hons) Robotics and Automated Systems, 2000

    University of Plymouth





Transport Analysis




Horizon Innovations Study

Analysis of a corpus of cutting edge technology to advise on regulatory reform.

West London Orbital

A demand Analysis of the business case for a new west London Railway

Birmingham Eastside extension Business case

Birmingham Metro Eastside Extension Business Case Transport For West Midlands

David worked as data scientist on the Birmingham Metro …

GWR Direct Award 3

High level performance advice for the Department for Transport.

Southeastern DAC4

High level performance advice for the Department for Transport.

Williams Rail Review Data Analytics

Data analytics for a review covering the structure of the rail industry.

Comparative Volume of Children and Pigeons

What is the volume of a small child as measured in pigeons.

Fixed Forward water treatment pricing tool.

Development of a charging tool for water treatment.

LNER Franchise bid

Updated performance model for bid team.

TMS Benefits Tool

Development of a tool to assess the benefits of digital Traffic Management Systems.

Wales and Borders Franchise Bid

Lead Performance modeller for the succesful bid to run the £5 billion wales and borders franchise and transformation project.

Western Rail Approach to Heathrow

A business case for a western rail approach to Heathrow.

West Coast Partnership Franchise Bid

Performance Model assurance for the Virgin / SNCF westcoast partnership bid.

BEAST Planning Software

A rebuild of a visual roadworks planning tool.

Delay Repay Costing

Analysis of performance data to estimate the cost of delay repay changes.

Sea-Tac Maintenance and Reliability modelling.

Development of a maintenance system foe Sea-Tac airport

Yield Group Remapping

Analyzing the impact of yield group mapping on ticket sales.

Distributed Road Maintenance Sensor Network

An investigation into distributed sensor nets for efficient road maintenance.

HS2 Health and safety analysis.

A data driven deep dive into large rail project health and safety.

West Midlands Franchise Bid

Technical analyst for the wet midlands franchise bid assessment.

Northern and Transpennine Express franchise bid assessment.

Data analyst and developer for the Northern/TPE bid assessment team.

Remote Sensors Pilot

Developed a remote sensors technology demonstrator package.

Modelling Automated Train Operation integration.

Modelling the Hertford Loop ATO facility for testing Automatic Train Operation

Schedule 8 recalibration.

Re-calibrating the Schedule 8 costs and benchmarks for CP5

Scotrail Franchise Bid

Performance Modelling for the Scotrail franchise bid.



Principal Data Specialist

D2 Rail

Sep 2020 – Present London
Capacity Management, Data Analysis, Transport Modelling

Principal Consultant


Aug 2019 – Mar 2020 London
Transport Modelling, Data Science, Training


CH2M / Jacobs

Feb 2013 – Aug 2019 London
Transport modelling, Data Science, Business Case Development, Management Information Systems devops

Programme Engineer

Network Rail

Dec 2008 – Feb 2013 Southwark
Developed operations models for the Thameslink programme, working on scheme simulation, capacity utilsation analysis and Systems Reliability modelling. Developed methods of modelling the first automatic train operation on a UK mainline railway.

Data and Logistics


Dec 2005 – Nov 2008 Stratford
Handled the data and laterly logistics for the Jubilee line, Stratford Depot.

Recent Publications

30 Second AI and Robotics

50 key notions, fields, and events in the rise of intelligent machines, each explained in half a minute