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Careers at Xantura

Big challenges. Brilliant people. Real-world impact.

At Xantura, we use data and AI to help public services join the dots, so they can spot issues earlier, make better decisions, and improve lives. Our technology is already helping councils, NHS teams, and government departments to improve outcomes for vulnerable people, and we’re scaling fast.

We’re a growing team of mission-driven software engineers, data scientists, consultants and product specialists who care about impact, integrity, and innovation. If you’re looking for a place where you can work on complex, meaningful problems alongside smart, collaborative colleagues, you’ll feel at home here.

We offer flexible, hybrid working, competitive salaries, and an inclusive culture built on trust and autonomy. More than anything, we offer the chance to do work that matters.

If you’re excited about using tech to make systems fairer, faster, and more preventative, you’re in the right place. Explore our open roles below.

Interested in any of the roles below?

Apply now! Send your CV & <200 words on why you’re excited by this role to
careers@xantura.com

The Role

In this role you will work in the Data & Analytics Consulting team, a client-facing function responsible for the technical end-to-end technical delivery of projects and deployment of oneview and deployment of the OneView platform.
You’ll work closely with our clients and internal teams to deliver data extraction, data engineering, data science, platform configuration, and data visualisation. You’ll own technical components of deployments, delivering high-quality work on time and solving problems independently. You’ll also help optimise how we work, supporting our ability to scale.
You’ll collaborate with Business Consultants, who oversee the non-technical elements of delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development), and Quality Assurance (testing and validation).

Key Responsibilities

Technical delivery
- Data extraction – Support the client’s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean data extraction
- Data science – Configure existing predictive models to meet the client’s needs, apply descriptive analytics techniques to extract meaningful insight from client data, build simple proxy predictive models to demonstrate value early on.
- Cohort building – Build preventative cohorts, test and adapt these with the client to optimise accuracy & efficacy
- Dashboards – Design, build and adapt dashboards to meet the client’s needs and tell them what they need to know in a clear, intuitive way
- Platform evolution – Feed innovations back into the core platform
Technical project work
- Own and deliver the technical components of deployments
- Prioritise effectively, flag and resolve blockers early, and collaborate well across teams
Problem-solving and storytelling
- Use your analytical skills to extract meaningful insights from data
- Translate complex analysis into clear, actionable recommendations for clients
Communication and stakeholder support
- Explain technical topics in an accessible way to help clients understand value and progress
- Support client upskilling by sharing knowledge and documentation
Collaboration
- Work closely with Business Consultants to deliver successful implementations and measure the impact
- Identify opportunities to improve how we deliver as a team and share best practices

What we’re looking for

We’d love to hear from you if you have:

A degree in a quantitative or technical field such as Data Science, Computer Science, Maths, Engineering etc
2+ years’ professional experience in data and analytics, including exposure to data engineering, data science and data visualisation:
- Proficiency in Python and SQL for data wrangling and analysis
- Core data science skillset, with experience in machine learning techniques
- Experience with relational databases (e.g., SQL Server or Oracle)
- Familiarity with tools like Power BI or Tableau to build clear, insightful dashboards
- Understanding of core machine learning concepts and techniques
- Experience writing clean, testable, traceable code using good QA practices
Experience delivering technical work to clients, with strong attention to detail and ability to manage your own deadlines
Strong analytical and problem-solving skills, with experience in techniques such as regression, correlation analysis, or EDA
Clear communication skills, both written and verbal. Able to explain technical work to non-technical audiences
A continuous improvement mindset, you look for opportunities to improve our tools, documentation, or ways of working
A passion for social impact – you’re excited about what we’re doing and driven to help Xantura succeed

Bonus Points if you have:

Familiarity with text analytics techniques such as natural language processing (NLP)
Experience working with the public sector (local or central government) or as a vendor/consultant to public sector clients
Familiarity with privacy, security, and information governance in data projects
Familiarity with cloud tools and services such as Azure Data Factory, Azure ML or AWS equivalents

About Xantura

At Xantura, we’re on a mission to reduce societal inequality by helping local authorities use data more effectively. Our AI-driven platform empowers frontline workers with the insights they need to prevent complex issues like homelessness or children being taken into care — before they happen. We make this possible by connecting siloed datasets, applying advanced machine learning to enrich the data, and using predictive analytics to identify those most at risk. Our platform then
distills this into clear, actionable insights that help frontline staff intervene early and make a real difference.

The past year has been a period of rapid growth. Our team has doubled, our client base has more than doubled, and our revenue has increased four-fold. We now work with over 20 local councils, supporting them across financial inclusion, homelessness, adult social care, children’s services, and criminal justice.

It’s an exciting time to join Xantura. We’re scaling quickly, bringing on new clients, strengthening our platform, and expanding into new areas. While we’re a technology company at heart, our true focus is on improving lives — and we’re looking for people who share that vision.

Location – This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1-2 days per week. Some travel is required for on-site client engagements as needed.

What we can offer

Competitive salary reviewed annually
Work for a passionate, mission-driven company solving society’s big problems
Work flexible hours around life commitments with a focus on delivering company value rather than hours worked
Ability to work remotely (excluding face-to-face Team Meetings and client meetings)
Training and development opportunities
25 days annual leave (plus bank holidays)
Company pension
Private medical insurance
Generous enhanced parental leave policies
Cycle to work scheme
Flu Vaccinations,
Eye Test and contribution towards Glasses for VDU use
Employee Assistance Programme
- Mental health and wellbeing support
- Remote GP access
- Counselling/therapy
- Physiotherapy
- Medical second opinions

As a Data Engineer in the Platform Delivery team, you will play a key role in building and maintaining the data infrastructure that underpins Xantura’s core products. You’ll develop robust, secure, and scalable data pipelines, support the ingestion and transformation of complex datasets, and work closely with engineers, QA, and product teams to enable the ongoing evolution of our platform.

You’ll be responsible for ensuring data flows smoothly through our systems, is well-documented and high quality, and supports downstream use cases including analytics, reporting, and decision support. You’ll help shape our engineering practices as we scale, and support operational delivery through strong technical implementation.

Key Responsibilities

Data engineering and infrastructure

Design, build and maintain data pipelines and ETL/ELT processes using tools such as Azure Data Factory and SQL Server
Ingest data from a variety of structured and semi-structured sources, ensuring scalability, performance, and data quality
Implement monitoring, logging, and alerting for data pipelines to proactively detect and resolve issues
Manage and version database schemas and transformations to support evolving platform requirements
Automate repeatable processes to reduce manual intervention and improve reliability

Platform delivery and product support

Work closely with software engineers and product managers to ensure data components align with product architecture and roadmap
Support the configuration and rollout of technical components to new and existing clients, including setup of pipelines and data validation
Provide technical troubleshooting and support for platform bugs and data issues
Write and maintain internal documentation for data processes, configuration, and engineering practices

Collaboration and continuous improvement

Collaborate across Platform, QA, and Customer Success to ensure smooth handover and deployment
Identify and implement opportunities to improve data infrastructure, tools, practice
Contribute to team standards around testing, code review, and deployment for data-related components
Support knowledge sharing and upskilling across the wider engineering team