Data Scientist Construction Tech

Job title: Data Scientist Construction Tech

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

ABOUT XYZ REALITY

XYZ Reality are the creators of the worlds 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 youre 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 were looking for a Construction Data Scientist who can turn project delivery data into commercial power. Youll 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 wont sit in dashboards it will shape how XYZ positions itself as the trusted intelligence layer for global construction. Youll 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 (24 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

Required Experience:

IC