What students can take on.

• A working prototype or feature, built from a spec
• A data pipeline and dashboard
• Training or evaluating an ML model on your data
• Code review and a security review

Typically: Second- to fourth-year computer scientists and MPhil students

• Forecasting and demand models
• A/B test design and analysis
• Pricing and optimisation models
• A review of your statistical methods

Typically: Third-year and Part III (master’s-level) mathematicians

• Market sizing and unit economics
• Pricing or demand analysis on your sales data
• Financial models and valuation sense-checks
• Industry reports

Typically: Economists in their second and third years

• Literature and target-validation reviews
• Re-analysis of public omics data
• Drug-class and clinical-trial landscapes
• Scientific due diligence

Typically: Biochemistry, genetics, systems and computational biology students

• CAD and component design checks
• Stress and simulation reports
• Embedded firmware and signal processing
• Test plans and design reviews

Typically: Second- to fourth-year engineers

• Competitor and pricing benchmarks
• Customer interview programmes
• UK and Europe market-entry briefs
• Marketing and operations reviews

Typically: Management Studies, social sciences and Land Economy students

• Translation and localisation
• English polishing of decks and papers
• In-language competitor and social scans
• Bilingual pitch-deck review

Typically: Asian and Middle Eastern Studies and Modern Languages students