Location flexibility: 3 office days / week – may vary across teams (tech teams 3 days at home)
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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.
Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process
Job Description
We're looking for a Senior Applied Scientist to join our AI Demand Forecasting team. Our mission is to build forecasting capabilities that power 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 solving complex machine learning challenges while developing reusable forecasting capabilities that can be applied across multiple business domains.
As a Senior Applied Scientist, you'll help shape the scientific direction of our forecasting platform, leading the design of advanced machine learning solutions that combine statistical modelling, deep learning and multimodal AI to solve challenging forecasting problems. You'll work closely with ML Engineers, data engineers, analysts, product managers and business stakeholders to translate research into production systems and create measurable business impact.
Responsibilities
Lead and collaborate on the design, development and evaluation of machine learning models for demand forecasting and related AI products.
Shape and support improvements in forecasting accuracy, robustness, scalability and explainability across multiple business domains.
Develop reusable modelling approaches that support a growing forecasting platform serving replenishment, pricing, supply chain optimisation and future AI products.
Research, prototype and evaluate modern and emerging machine learning techniques from academia and industry, identifying opportunities to improve forecasting performance.
Design rigorous offline and online evaluation methodologies to measure both model quality and business impact.
Write, test and maintain production-quality Python code for machine learning models and forecasting pipelines, following software engineering best practices to support reliable deployment and long-term maintainability.
Work closely with ML Engineers to productionise models, ensuring scientific approaches can operate reliably and efficiently at scale.
Provide technical leadership and guidance on complex modelling projects, helping shape scientific direction and investment decisions.
Mentor and support other scientists through technical guidance, code reviews, experimentation best practices and knowledge sharing.
Communicate scientific findings and recommendations clearly to both technical and non-technical stakeholders.
Qualifications
You'll be excited by solving complex machine learning challenges, advancing forecasting capabilities and seeing innovative research translated into measurable business impact.
We're interested in people with a range of experiences and backgrounds. If your experience doesn't align perfectly with every qualification below, we'd still encourage you to apply if you believe you'd be successful in the role.
You'll likely bring experience in some of the following areas:
Developing and deploying machine learning models in production environments.
Applying statistical methods to solve real-world problems.
Experience in one or more of the following areas:
Time series forecasting
Probabilistic forecasting
Deep learning
Multimodal machine learning
Representation learning
Causal inference
Optimisation
Designing new modelling approaches or adapting modern machine learning research to practical business challenges.
Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow or similar technologies.
Experience working with large datasets and distributed data processing environments.
Applying software engineering practices including testing, version control and developing maintainable, reproducible code.
Collaborating with ML Engineers and cross-functional teams to deploy machine learning solutions into production.
Communicating complex scientific concepts clearly to technical and non-technical audiences.
Supporting and mentoring colleagues or contributing technical leadership across projects.
Curiosity, pragmatism and sound judgement when balancing innovation with business outcomes.
Additional Information
BeneFITS’
Employee discount (hello ASOS discount!)
Employee sample sales
25 days paid annual leave + an extra celebration day for a special moment
Discretionary bonus scheme
Private medical care scheme
Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role
Working at ASOS
3 office days / week – may vary across teams (tech teams 3 days at home)
A little flex time
Company employees:
3,000
Gender diversity (m:f):
35:65
Hiring in countries
United Kingdom
Office Locations
Company benefits
25 days annual leave + bank holidays
401K
Accrued annual leave – Max 5 days to carry over
Adoption leave – 26 weeks enhanced pay
Annual bonus
Annual pay rises
Bike parking
Birthday off
Buy or sell annual leave
Cinema discounts
Coffee discounts
Company freebies
Compassionate leave
Critical Illness Insurance
Dental coverage
Early finish Fridays
Emergency leave
Employee assistance programme
Employee discounts
Enhanced maternity leave – 26 weeks enhanced pay
Enhanced paternity leave – 8 weeks enhanced pay
Enhanced pension match/contribution
Enhanced sick days
Enhanced sick pay
Eye Care Support
Faith rooms
Family health insurance
Fertility benefits
Financial coaching
Further education support
Gym membership
Hackathons
Health insurance
Hertility subscription
In house training
On-site catering
On-site massages
On-site workout classes
On-site yoga classes
Learning platform
Life assurance
Mental health first aiders
Mental health platform access – Access to EAP (Unum)
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