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Data & Analytics Placement

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
c1
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data & Analytics Placement (Machine Learning/AI): Developing analytical and machine-learning solutions for financial services, retail, telecommunications, and other industries with an accent on NLP, risk modeling, and advanced analytics. Focus on building predictive models, validating GenAI applications, combining live data feeds, and translating complex results into practical business recommendations.

Location: Bank House, Bank House Square, Newcastle upon Tyne, NE1 6QF, United Kingdom; full-time, 100% industry-based placement with no study required during the 12 months. Occasional travel may be required.

Company

Oliver Wyman’s Data & Analytics division is a global quantitative analytics consultancy within hirify.global, serving clients across financial services, climate and sustainability, energy, retail, transportation, government, and other industries.

What you will do

  • Collaborate with clients and colleagues to design tailored solutions for analytical challenges.
  • Develop and implement prototypes, assess their effectiveness, and communicate ideas, results, issues, and implications.
  • Develop NLP-based machine learning and GenAI solutions, including credit-rating prediction tools and customer-facing chatbot validation.
  • Build Python-based probability of default and loss models, portfolio decarbonisation strategies, promotion analytics, and customer churn models.
  • Identify and model supply-chain and other business risks using live data feeds, AI methodologies, and advanced analytics.
  • Support commercial due diligence, AI readiness assessments, billing discrepancy remediation, and pricing proposition restructuring.

Requirements

  • Bachelor’s, Master’s, or PhD in a quantitative or STEM discipline, such as Data Science, Mathematics, Economics, Natural Sciences, Statistics, or Engineering, from a top academic program.
  • Strong analysis, documentation, and communication skills.
  • Ability to work independently under limited supervision while respecting defined timelines.
  • Ability to find innovative, practical, and flexible solutions to business issues.
  • Ability to present results, potential issues, and implications effectively.
  • Excellent command of English, both verbal and written.
  • Ability to manage a heavy workload and meet deadlines in an extremely fast-paced environment.
  • Ability to maintain and respect confidentiality.
  • Willingness to travel occasionally.
  • Availability for a 12-month, 100% industry placement starting Monday 21 June 2027, with no study required during the placement. The placement must form part of the candidate’s degree requirements.

Culture & Benefits

  • Work in an entrepreneurial, impact-focused environment.
  • Collaborate with diverse colleagues and clients across a global footprint.
  • Contribute to projects across multiple industries and international markets.
  • Work in an inclusive and flexible environment committed to equal opportunities and reasonable adjustments.

Hiring process

  • Submit a CV and cover letter.
  • First-round interviews will take place virtually during the week commencing 9 November 2026.
  • Applications close Friday 30 October 2026, although the opportunity may close earlier.

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