Data Scientist – Construction Tech

XYZ Reality

Data Scientist transforming complex construction data into commercial insights at XYZ Reality. Collaborating with teams to improve project delivery through data analysis and storytelling.

Posted 6/22/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

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Hard Skills & Tools

SQLPythonRExcelGoogle Sheetsdata analysisstatistical analysistrend analysisvariance analysiscomparative analysis

Soft Skills

analytical thinkingcommunicationcollaborationtrust buildingstorytellingproblem-solvingquestioninginterpretationcommercial awarenessnarrative development