Data Scientist - Construction Tech

Location: London, UK (Hybrid – in-office 3 days per week)

About XYZ Reality

XYZ Reality are the creators of the world's first and only engineering‑grade Augmented Reality solution, purpose built for the construction industry. Not only have we created this holographic technology, that sits within The Atom — a smart, site‑safe headset/hardhat — but we implement it on projects, utilising the power of AR to ensure that all schemes are completed in line with delivery timescales and budgets. XYZ has grown to over 100 staff across the UK, US & Europe and is working with Mission Critical organisations & construction companies to successfully deliver major projects.

The Role

If you're buried in construction data or project controls, producing reports that rarely leave the business — this is your chance to do something bigger. At XYZ Reality, we're looking for a Construction Data Scientist who can turn project delivery data into commercial power. You'll work with data from some of the most complex hyperscale and mission‑critical construction projects in the world — uncovering trends and risk signals, and packaging them into insights that drive ABM campaigns, sales conversations, and market positioning. This is a pivotal role sitting at the intersection of delivery, revenue, and go‑to‑market. Your analysis won't sit in dashboards — it will shape how XYZ positions itself as the trusted intelligence layer for global construction. You'll need real construction domain knowledge, strong data skills, and the storytelling ability to make numbers move people.

Key Responsibilities

• Query, extract, clean, and structure data from internal delivery systems using SQL and Python — running trend, variance, and comparative analysis across projects, packages, regions, and contractor delivery models to surface meaningful performance signals.
• Analyse delivery metrics at individual, portfolio, and global scale — including schedule performance, productivity trends, cost and risk signals, and change or rework patterns — going beyond what happened to explain why projects perform differently.
• Work directly with project managers, engineers, and delivery leads to translate on‑the‑ground activity into analysable data — asking the right questions, digging into anomalies, and building trust with operational teams by respecting site reality.
• Package insights into clear, compelling narratives for ABM campaigns, sales enablement materials, case studies, and executive and client‑facing content — positioning XYZ as the trusted insights partner for hyperscale and mission‑critical construction.
• Build repeatable analysis frameworks and scripts that enable continuous insight generation — moving from one‑off reports to a scalable insight engine that keeps pace with a rapidly growing global project portfolio.
• Collaborate with Marketing, Sales, and GTM teams to refine insight outputs based on campaign performance and commercial feedback — owning the insight narrative for the business and helping shape market positioning.

Required Qualifications

• Professional background in construction, engineering, infrastructure, or project delivery — with hands‑on understanding of how projects actually run on site. Construction domain knowledge is non‑negotiable; you need to speak credibly with delivery teams and understand their data.
• Strong SQL skills (required) and ability to write scripts in Python, R, or similar — plus advanced spreadsheet skills (Excel / Google Sheets) and comfort working with messy, real‑world datasets that lack perfect schemas or documentation.
• Statistical and analytical thinking — able to identify trends, correlations, and outliers across time, geography, and project types, with a focus on interpretation and commercial implications, not just outputs.
• Proven ability to translate complex findings into simple, business‑relevant language and turn analysis into stories that support decision‑making and revenue.
• Experience supporting commercial, marketing, or GTM functions is a strong advantage.

Key Experience & Skills

• Construction domain knowledge — project delivery, packages & site reality
• SQL (required) & Python / R scripting for data extraction & analysis
• Delivery performance analytics — schedule, productivity, cost & risk
• Data storytelling — turning insight into ABM, sales & exec narratives
• Cross‑functional collaboration — delivery, revenue & GTM teams
• Repeatable frameworks — scalable insight engines, not one‑off reports

Benefits

• 25 days annual leave + public holidays
• Private healthcare with Vitality
• Christmas shutdown days on top of leave allowance (2–4 per year usually)
• Office located within a 5‑minute walk from Angel station
• Hybrid working
• Biannual salary reviews
• Summer & Christmas staff parties
• Free lunch bought in and after‑work gathering/drinks every Thursday in the office
• Employee referral scheme
• Cycle to Work scheme
• Make a real‑world impact of revolutionising the construction industry