Applied Scientist - Forecasting

ASOS; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Employee discount (ASOS discount!)

Employee sample sales

25 days paid annual leave + extra day

Private medical care scheme

Fixed annual payment in addition to薪?

Personalized learning opportunities

Job summary

ASOS is seeking an Applied Scientist to join our AI Demand Forecasting team. You will help build forecasting capabilities that support critical business decisions across the company, evolving from replenishment forecasting to a broader forecasting platform.

You'll work with data engineers, ML engineers, analysts, product managers and business stakeholders to design, develop and deploy ML models at scale, influencing both scientific direction and product impact.

Qualifications

• Experience deploying ML models in production environments.
• Apply statistics, analytics and ML techniques to solve real-world problems.
• Experience in time series forecasting, probabilistic forecasting, deep learning, gradient boosting, causal inference or optimisation.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Design, develop and deploy machine learning models for demand forecasting in production environments.
• Improve forecasting accuracy, robustness, scalability and explainability across diverse business use cases.
• Develop forecasting solutions that support replenishment, pricing and supply chain optimisation.
• Design and analyze offline and online evaluations to measure model performance and business impact.
• Collaborate closely with engineers to productionize models and build reliable, scalable ML systems.
• Explore and evaluate new modeling approaches, testing and prototyping promising ideas.
• Contribute to the team's scientific direction through technical discussions, code reviews and knowledge sharing.

Skills

Python

PyTorch

TensorFlow

Time series forecasting

Deep learning

Gradient boosting

Causal inference

Model deployment

Distributed data

Code quality

Communication

Tools

Git

Python

PyTorch

TensorFlow

Job description

Company Description

We're ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We're proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

We're looking for an Applied Scientist to join our AI Demand Forecasting team. Our mission is to build forecasting capabilities that support critical business decisions across the company.

While our foundations are in replenishment forecasting, we're evolving into a forecasting platform that provides scalable, high-quality demand forecasts for a growing range of use cases, including AI-powered Pricing and Supply Chain optimisation. This means tackling challenging machine learning problems while building reusable forecasting capabilities that can be applied across multiple domains.

As an Applied Scientist, you'll work alongside data engineers, ML engineers, analysts, product managers, and business stakeholders to design, develop and deploy machine learning models at scale. You'll have the opportunity to influence both the scientific direction of our forecasting systems and the products that depend on them.

Key Responsibilities

• Design, develop and deploy machine learning models for demand forecasting in production environments.
• Improve forecasting accuracy, robustness, scalability and explainability across diverse business use cases.
• Develop forecasting solutions that support multiple downstream consumers, including replenishment, pricing and supply chain optimisation.
• Design and analyze offline and online evaluations to measure model performance and business impact.
• Collaborate closely with engineers to productionize models and build reliable, scalable ML systems.
• Explore and evaluate new modeling approaches from industry and academia, testing and prototyping promising ideas.
• Contribute to the team's scientific direction through technical discussions, code reviews and knowledge sharing.

Qualifications

About You

You’ll enjoy applying machine learning to large-scale, real-world forecasting challenges and translating research into production systems.

We’d be particularly interested in candidates who bring experience in some of the following areas:

• Developing and deploying machine learning models in production environments.
• Applying statistics, analytics and machine learning techniques to solve real-world problems.
• Experience in one or more of the following areas:
  • Time series forecasting
  • Probabilistic forecasting
  • Deep learning
  • Gradient boosting
  • Causal inference
  • Optimisation
• Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow or similar.
• Working with large datasets and distributed data processing systems.
• Software engineering practices including testing, version control and writing maintainable code.
• Communicating technical concepts to both technical and non-technical audiences.
• Curiosity, pragmatism and a willingness to learn, experiment and share knowledge.

Additional Information

BeneFITS

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Private medical care scheme
• Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
• Opportunity for personalized learning and in-the-moment experiences that enable you to thrive and excel in your role