ASOS

1 week ago

Applied Scientist - Forecasting

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Build and deploy machine learning models that improve demand forecasting accuracy for production use. Work on replenishment foundations as the forecasting platform expands into use cases like AI-powered Pricing and Supply Chain optimisation. Design offline and online evaluations, collaborate with engineers to productionise reliable ML systems, and explore new modelling approaches from industry and academia while shaping the team’s scientific direction.

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy demand forecasting ML models in production environments.
•Improve forecasting accuracy, robustness, scalability, and explainability across business use cases.
•Create 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.

Pay and Benefits

Perks:Employee DiscountPaid LeavePrivate MedicalAnnual BonusLearning BudgetSample Sales

Key Requirements

•Develop and deploy machine learning models in production environments.
•Apply statistics, analytics, and machine learning 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 like testing and version control, and communicate technical concepts to technical and non-technical audiences.

Experience:Demand forecastingTime series forecastingForecasting

Skills:CommunicationCuriosityPragmatismExperimentationKnowledge sharing

Languages:English (UK)

Tech Stack:PythonPyTorchTensorFlowMachine learningTime series forecastingProbabilistic forecastingDeep learningGradient boostingCausal inferenceOptimization

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: 3.4

Website LinkedIn Glassdoor

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ASOS

1 week ago

Applied Scientist - Forecasting

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy demand forecasting ML models in production environments.
•Improve forecasting accuracy, robustness, scalability, and explainability across business use cases.
•Create 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.

Pay and Benefits

Perks:Employee DiscountPaid LeavePrivate MedicalAnnual BonusLearning BudgetSample Sales

Key Requirements

•Develop and deploy machine learning models in production environments.
•Apply statistics, analytics, and machine learning 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 like testing and version control, and communicate technical concepts to technical and non-technical audiences.

Experience:Demand forecastingTime series forecastingForecasting

Skills:CommunicationCuriosityPragmatismExperimentationKnowledge sharing

Languages:English (UK)

Tech Stack:PythonPyTorchTensorFlowMachine learningTime series forecastingProbabilistic forecastingDeep learningGradient boostingCausal inferenceOptimization

Company Brief

ASOS

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: 3.4

Website LinkedIn Glassdoor