Intern - Applied Science (Summer 2023)
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Position Overview & Specifications
- Researching Uncertainty Quantification and Monte Carlo based simulation methods for engineering applications and risk assessment.
- Coding in Python to further develop existing Python scripts used to run Monte Carlo analysis to refine and improve the simulation process.
- Developing documentation on the Probabilistic Assessment Framework.
- Presenting to potential users at the end of the internship.
- Undergraduate or graduate student with a concentration in mathematics, engineering, applied mechanics, or related field.
- Statistics modules at A' Level or above preferred
- Experience in Python or similar desirable
- Excellent academic record.
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Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (Β£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Architectural & Engineering Services
Based on transatlantic hiring benchmarks for Intern - Applied Science (Summer 2023) roles across Thornton Tomasetti's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Architectural & Engineering Services.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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