Role overview
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.
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.
What you'll work on
Technical delivery**
- Machine learning engineering – Demonstrate previous experience and capability to optimise predictive models using advanced architectures such as gradient‑boosted trees, temporal models and embedding‑based models.
- 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
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 Machine Learning, Data Science, Computer Science, Maths, Engineering etc
Previous experience in data and analytics, including exposure to data engineering, data science and data visualisation:
- Proficiency in Python and/or SQL for data wrangling and analysis
- Previous data science knowledge, 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 Experience writing clean, testable, traceable code using good QA practices
Experience delivering technical work, 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
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
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 also required for on-site client engagements as needed.