Bounteous
Data Architect

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Data Architect
Data Architect / Engineer – Glasgow – Full-Time/Contract (12 Months)
About the Role
This key role supports our divisional leadership by developing a sophisticated, scalable and explainable decision model to enhance workforce planning and data-driven decision-making. The ideal candidate will merge expertise in data science, analytics, and systems thinking with an ability to deliver high-impact outputs visible at the executive level, ultimately partnering across diverse business functions.
About Bounteous
Bounteous is a premier end-to-end digital transformation consultancy, partnering with ambitious brands to deliver innovative solutions across:
- Strategy
- Analytics
- Digital Engineering
- Cloud & Data & AI
- Experience Design
- Marketing
With strict standards for technical and domain expertise, we empower clients globally through our 4,000+ expert team across regions.
Our Co-Innovation methodology aligns interests to accelerate value creation.
Responsibilities
Design & Architecture
- Lead the end-to-end design of a decision support model from conception to deployment.
- Define a framework balancing predictive accuracy, interoperability, and usability for scalability.
Data Integration & Engineering
- Collaborate with teams to source, cleanse, and structure required datasets.
- Ensure data readiness for downstream modeling.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Model Development
- Apply statistical, machine learning, or optimization techniques to build a robust system.
- Conduct sensitivity analysis and develop "what-if" forecasting tools for stakeholders.
Business Analysis
- Translate business requirements into analytical and technical solutions.
- Align the model with strategic goals and operational needs.
Data Visualisation & Communication
- Create interactive dashboards, reports, or visualisations to communicate model outputs.
- Tailor insights for executive-level stakeholders.
Governance & Monitoring
- Ensure compliance with governance policies, including risk management, validation, and versioning.
- Establish KPIs to track model performance and business impact.
- Implement ongoing recalibration and performance tracking.
Requirements
Qualifications
✔ Minimum 5 years of experience in data science, analytics, operational research, or related fields. ✔ Advanced degree in a quantitative field (e.g., Data Science, Engineering, Mathematics, Computer Science).
Key Skills (Desired)
✅ Data Modelling & Scaling – Build methodologies from statistical techniques to automation. ✅ Industry Expertise – Experience across banking, insurance, or consulting with a focus on data analytics & insights. ✅ Stakeholder Engagement – Translate complex analytical findings into actionable business insights. ✅ Project Management – Lead end-to-end analytics projects, analysing customer journeys and driving strategy through data. ✅ Technical Proficiency
- SQL, Google Cloud Platform (BigQuery), Adobe Analytics
- Tableau, Power BI (visualisation)
- Python (analysis & automation)
- SQL, SAS (reporters & automation), Alteryx (data prep & workflows) ✅ Commercial Analytics – Derive impact on revenue, automate reporting, and improve operational efficiency. ✅ Data Quality & Governance – Ensure adherence to regulatory guidelines and bridge data gaps. ✅ Project Exposure – Experience in:
- Profiling & trend analysis
- Complex dataset analysis (A/B testing, impact analysis for commercial outcomes)
- Identifying and remediating data issues


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Benefits
Much more can be shared in an exploratory conversation. We’re an equal-opportunity employer and welcome queries on flexibility. 🚀
Bounteous is committed to equality: We do not discriminate on the basis of race, religion, colour, sex, gender identity, sexual orientation, age, physical/magnetic disability, national origin, veteran status, or any other status protected by law. Eligible candidates will be considered for employment visa sponsorship.
Interested? We’d love to hear from you! Apply or reach out for an informal discussion.
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