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Lorien

Data Discovery and Classification Analyst

London
Posted about 16 hours ago
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Data Discovery and Classification Analyst

We are currently recruiting for a Data Discovery and Classification Analyst with strong experience with DSPM experience to join one of our Insurance clients on a 6-month contract.

Inside IR35
Hybrid

The Role

  • Support the initial two-vendor proof of concept, from environment preparation and configuration through to evidence-based evaluation, recommendation, and selection of the preferred platform.
  • Configure vendor data discovery, classification, and DSPM platforms in line with the agreed proof-of-concept scope and test scenarios.
  • Plan and execute discovery and classification test cases, including validation of scan coverage, data source reachability, classification accuracy, and result quality.
  • Help define the target operating model for data discovery and classification, including roles, responsibilities, workflows, service measures, governance forums, and escalation paths.
  • Support the recruitment, onboarding, coaching, and development of team members who will operate and enhance the platform.
  • Create reusable standards, playbooks, and procedures for connector deployment, classification tuning, result validation, insight generation, and stakeholder reporting.

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

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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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Strong

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.

Requirements

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  • Demonstrable hands-on experience with data discovery, data classification, data security, privacy technology, or Data Security Posture Management (DSPM) tooling.
  • Practical experience configuring enterprise security or data management platforms and connecting them to diverse data sources.
  • Strong technical understanding of data stores and platforms such as relational databases, file shares, object storage, collaboration platforms, SaaS applications, and cloud services.
  • Working knowledge of enterprise connectivity and integration concepts, including APIs, service accounts, identity and access management, certificates, proxies, firewalls, routing, and least-privilege access.
  • Experience troubleshooting complex technical issues across multiple teams and suppliers, with a structured approach to root-cause analysis and resolution.
  • Knowledge of data classification concepts, sensitive data types, metadata, pattern matching, machine-learning-assisted classification, and validation of classification results.
  • Experience with one or more leading DSPM, sensitive data discovery, or classification platforms.
  • Exposure to Microsoft Purview, cloud-native data security services, or enterprise data cataloguing and governance capabilities.
  • Experience assessing vendor technology through a proof of concept or proof of value, followed by implementation, operational transition, or service build-out.
  • Knowledge of information protection, data loss prevention, privacy, records management, data governance, or regulatory control frameworks.
  • Experience working in a large, global, regulated organisation and across hybrid on-premises and multi-cloud environments.
  • Relevant technical or security certification, or equivalent practical experience.
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Location

London, England, United Kingdom

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