Consultant / Advisor - Data Science and Analytics

Alexander Ash are working with a leading technical professional services company who provide advisory, architecture and design, buildings, digital, energy and resources, environmental, geosciences, project management, transportation, and water services within the global market.

They are investing heavily into growing their Data Strategic Insights team, so are keen to hire data professionals who have a passion for pragmatic data-driven problem-solving. The team supports delivery for some of the most challenging and exciting problems within the sector, from Rail and Highways to Telecoms and Future Energy. Experience & passion in pursuing economic and community improvements in infrastructure is key.

Responsibilities include:

• Leading technical project delivery
• Structuring, performing, and overseeing domain-centric analyses
• Exploring and modelling financial, economic, engineering and/or operational data develop insight and test hypothesis
• Understanding and considering the impact and roadmap from a standalone technical project to integration within the client organisation.
• Contributing to our technical foundations to continuously improve client offering

Experience:

• Understanding of statistical methods and concepts such as regression-based techniques, quantifying and evaluating uncertainly, sampling methods and probability distributions
• Readable data manipulation in Python, R, or SQL
• Programming in Python or R including module/package management, structuring small to medium sized project, and writing clean, concise code which priorities readability
• Preparing deliverables such as analytical reports, dashboards, or presentations
• Analytical workflow management

It will support your application if you can also demonstrate any combination of the following technical skills:

• Domain-driven and hypothesis-driven data analytics and modelling
• Solid understanding of infrastructure subject matter
• Clear and detailed storytelling and presentational capability regarding technical concepts
• Data modelling in a data warehouse
• Requirements capturing

Please apply now for immediate consideration.