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MPower Plus

Senior Data Scientist

Leeds
Posted about 16 hours ago
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Mandatory Hands-on Technical Skills

Knowledge graphs:

  • Ontology and semantic model design
  • Property graphs and RDF
  • Graph schema evolution
  • Knowledge representation
  • Provenance
  • Graph quality
  • Entity and relationship resolution

Graph platforms:

  • Deep implementation experience with Neo4j and Cypher
  • Working knowledge of at least one additional platform such as Amazon Neptune, TigerGraph, Azure Cosmos DB Gremlin, ArangoDB, or JanusGraph

Graph data science:

  • Neo4j Graph Data Science
  • NetworkX
  • PyTorch Geometric or DGL
  • Graph embeddings
  • Pathfinding
  • Similarity
  • Clustering
  • Link prediction
  • Node classification
  • Anomaly detection
  • GNN development

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.

Start with a chat, not a search bar

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.

P

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.

Programming and engineering:

  • Advanced Python and SQL
  • APIs
  • Test automation
  • Data structures
  • Distributed processing
  • Git
  • CI/CD
  • Containers
  • Infrastructure awareness
  • Production debugging and performance optimization

Data engineering:

  • Spark or Databricks
  • Kafka or equivalent streaming
  • ETL/ELT
  • Batch and real-time pipelines
  • Data contracts
  • Lineage
  • Cataloguing
  • Quality rules
  • Scalable cloud storage

Cybersecurity:

  • SOC workflows
  • Threat hunting
  • Incident response
  • Detection engineering
  • Vulnerability and exposure management
  • IAM/PAM
  • Zero Trust
  • Cloud security
  • Security control mapping

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Security standards:

  • Practical use of MITRE ATT&CK
  • STIX/TAXII
  • CVE
  • CWE
  • CAPEC
  • NIST frameworks
  • CIS Controls
  • Common threat-intelligence vocabularies

GenAI and GraphRAG:

  • LLM-based extraction
  • Retrieval orchestration
  • Agent/tool integration
  • Prompt design
  • Evaluation
  • Grounding
  • Guardrails
  • Explainability
  • Evidence traceability

MLOps and observability:

  • Experiment tracking
  • Model versioning
  • Deployment
  • Monitoring
  • Drift and quality checks
  • Auditability
  • Access controls
  • Secrets management
  • Cost/performance management
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Location

Leeds, England, United Kingdom

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