Job Description

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Description

In this role you will work in the Customer Success team, within the Technical Operations function responsible for the ongoing monitoring end technical support of projects and deployment of the OneView solution and deployment of the OneView platform.




You'll work closely with our Customer Success team, Technical Operations colleagues within the team 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 Customer Success Managers, 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).

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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 understand value and progress Support client upskilling by sharing knowledge and documentation

Collaboration

Work closely with Customer Success colleagues to deliver successful solutions and measure the impact Identify opportunities to improve how we deliver as a team and share best practices
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Skills, Knowledge & Expertise

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

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Job Benefits

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

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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.



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.