Xantura Limited
Data and Analytics Consultant

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Data & Analytics Consultant – Client-Facing
About the Role
In this role, you will work in the Data & Analytics Consulting team, a client-facing function responsible for the technical configuration and deployment of the OneView platform.
You’ll work directly with our clients to deliver seamless software implementation, data extraction, data engineering, data science, product configuration and data visualisation. As a multi-skilled technical professional, you’ll handle all technical aspects of client deployments independently, while also supporting clients throughout the process.
You’ll collaborate with Business Consultants (who manage non-technical delivery) as well as Information Governance (privacy and security), Platform Delivery (core product development) and Quality Assurance (testing and validation) teams.
Key Responsibilities
Technical Delivery
- Data extraction: Support the client’s technical team in installing IG Bridge, adapting scripts, addressing quality issues, and ensuring clean data extraction
- Data science: Configure existing predictive models, scope new or iterated models, apply descriptive analytics techniques to extract meaningful insights, and build proxy predictive models to demonstrate early value
- Cohort building: Design and optimise preventative cohorts through testing and adaptation with clients
- Dashboards: Design/build or adapt clear, intuitive dashboards that deliver actionable insights to clients
- Platform evolution: Integrate client innovations back into the core platform for broader adoption
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Project Management
- Scope and manage all technical aspects of deployments to clients
Problem Solving & Storytelling
- Apply technical and analytical skills to extract interesting key insights and craft compelling narratives around client data
Communication & Stakeholder Management
- Translate complex technical details into business-friendly language to accelerate smooth deployments
- Build tracking tools aligned with what truly matters to clients
Client Upskilling
- Support client teams’ technical growth and self-sufficiency beyond deployment
Collaboration
- Partner with the Business Consulting team to drive successful client projects
What We’re Looking For
We welcome applications if you have:
- 4+ years in data & analytics, covering data engineering, data science, and data visualisation
Technical Proficiencies
- Python, SQL, R (data manipulation & querying)
- Experience with relational databases (e.g., SQL Server, Oracle)
- Familiarity with formats like CSV, JSON, and XML
- Strong cloud experience (preferably Azure or AWS)
- Expertise in data visualisation (e.g., PowerPoint, Power BI, Tableau)
- QA & testing – unit/regression/integration testing + clean, repeatable analytics code
- Machine learning techniques (supervised, unsupervised ML, LLMs)
- Deployment tools (e.g., Azure Data Factory, Azure ML, batch processing)
- DevOps or agile development environments
Project Leadership
- 4+ years leading clients through complex technical projects – problem-solving, deadlines, communication & results delivery


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Analytical & Communication Skills
- Sharp analytical mind: statistical analysis, regression, correlation, and EDA
- Ability to translate technical insights into business value
- Stakeholder influence – engaging at all levels
Industry & Purpose
- Strong preference for experience in a high-growth tech company
- Passion for social impact – alignment with Xantura’s mission to reduce inequality
Bonus Points
- Public sector experience (government clients)
- IG, privacy, and security knowledge
Location
Hybrid model: primary work performed remotely or at the London office (1-2 days/week as needed). Occasional client travel required.
About Xantura
We’re a fast-growing AI-driven platform that helps local authorities use data to prevent complex social challenges like homelessness or child protection cases before they occur.
Mission
Connect siloed datasets, apply machine learning, and provide predictive insights to frontline workers—helping them intervene early. In our last year, we’ve doubled our team, tripled our clients, and quadrupled revenue.
Why Join Us?
An exciting time to contribute: scaling client base, evolving the platform, and expanding impact. Here, we’re a tech company with a social mission—founders who want to change lives, not just build software.
Everyone on our team entirely embodies our culture and purpose. If it’s yours too—let’s talk.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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