Applied Scientist - Forecasting

ASOS
London
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Skills: ["Communication","Collaboration","Pragmatism","Curiosity","Knowledge sharing"]

Build and deploy machine learning models for demand forecasting in production to improve accuracy, robustness, scalability, and explainability. Evolve forecasting into a reusable platform serving downstream consumers like replenishment, AI-powered pricing, and supply chain optimisation. Design offline/online evaluations for model performance and business impact, collaborate with engineers to productionise models, and prototype new approaches from industry and academia.

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ASOS
ASOS
1 day ago

Applied Scientist - Forecasting

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Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and deploy machine learning models for demand forecasting in production to improve accuracy, robustness, scalability, and explainability. Evolve forecasting into a reusable platform serving downstream consumers like replenishment, AI-powered pricing, and supply chain optimisation. Design offline/online evaluations for model performance and business impact, collaborate with engineers to productionise models, and prototype new approaches from industry and academia.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy ML models for demand forecasting in production.
  • •Improve forecasting accuracy, robustness, scalability, and explainability across diverse business use cases.
  • •Develop forecasting solutions for multiple downstream consumers including replenishment, pricing, and supply chain optimisation.
  • •Design and analyse offline and online evaluations to measure model performance and business impact.
  • •Collaborate with engineers to productionise models and build reliable, scalable ML systems, including exploring new approaches and contributing to scientific direction via reviews and discussions.

Pay and Benefits

Perks:Employee DiscountSample SalesPaid LeavePrivate MedicalAnnual Payment

Key Requirements

  • •Develop and deploy machine learning models in production environments.
  • •Apply statistics, analytics, and machine learning techniques to solve real-world problems.
  • •Experience with one or more: time series forecasting, probabilistic forecasting, deep learning, gradient boosting, causal inference, or optimisation.
  • •Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
  • •Use software engineering practices (testing, version control, maintainable code) and communicate technical concepts to technical and non-technical audiences.
Skills:CommunicationCollaborationPragmatismCuriosityKnowledge sharing
Languages:English (UK)
Tech Stack:PythonPyTorchTensorFlowMachine learningTime series forecastingProbabilistic forecastingDeep learningGradient boostingCausal inference

Company Brief

ASOS
ASOS plc is a UK-based online fashion and beauty retailer selling thousands of branded and own-label products worldwide through its e-commerce platform, targeting young adult customers with fast-fashion, marketplace third-party brands, and integrated logistics and marketing services.
Industry: E-commerce
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2000
Glassdoor
Glassdoor: 3.4
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