We believe in a world where you have total freedom to be you, without judgement. To experiment. To express yourself. To be brave and grab life as the extraordinary adventure it is. So we make sure everyone has an equal chance to discover all the amazing things they’re capable of – no matter who they are, where they’re from or what looks they like to boss. We exist to give you the confidence to be whoever you want to be.

Asos London, UK
22/11/2018
Full time
ASOS burst onto the scene in 2000 and now has 9 country-specific websites, shipping to 240 countries. Our Head Office is based in London, along with several other key offices located around the globe, including the US, France, Germany and Australia. We have 80,000+ product lines with 3,000+ being added every week. We have over 3.2 million visits daily and over 13 million active customers. Our ambition is to be the world’s no.1 online fashion destination for 20-somethings, therefore it is vitally important to us that we continue to attract top talent across the globe to help us realise our goals.  We look for people who are:  Authentic Brave Creative We’re looking for a Permanent Business Analyst to join our Digital Core Ecommerce team. You’ll be part of a major transformation programme which will enable ASOS to have the most accurate, relevant, inspiring information and imagery about our product and propositions.  This is an exciting time to join our strategic digital experience evolution, so if you are passionate about innovation, data quality, process improvement and enabling transformation we would love to hear from you.  You will be working closely with a wide range of stakeholders including our Product, Asset, Integration and Testing Teams, other platform domains and business colleagues as we gear up to delivering future phases to improve our Studio Team’s product and asset workflows, coupled with our ability to scale to meet growing demand. We’re passionate about development at ASOS and you will learn lots and develop in your career whilst you’re with us.  We’re a dynamic company so you’ll have the chance to run with your ideas when you want and have a true input into how ASOS do things. And, most importantly… we have regular £1 sample sales! What you’ll be doing: Leading refinement sessions to ensure requirements deliverables such as user stories, acceptance criteria and processes are understood, documented and prioritised Be responsible for the quality of Business Analysis across the Programme and support other BAs to strive constantly to improve Business Analysis practice Work closely with development, testing, architecture and business teams to identify dependencies internal to the Programme and external ones Plan, co-ordinate and oversee the execution of user acceptance testing for the Studio Teams, including working closely with technical teams to identify and manage pre-requisite activities A passion for data is a must to proactively support with data queries arising from the business and technical teams, ensuring the correct approval process and governance is adhered to Support with clarifying and managing feedback on reporting requirements and complex workflows. Participate in stand ups, reviews, retrospectives, product demonstrations and prioritisation sessions Provide end user communications, so affected users understand the changes Work closely with Platform Leads, Agile Delivery Managers and Project Managers across Technology to understand how business priorities and dependencies affect and influence your scope of work Work closely with senior stakeholders to understand the business problem and influence the best outcome ensuring this aligns with relevant enterprise wide strategies Work closely with Product Management to understand the strategic vision for the business and help influence priorities and road maps You will understand and define NFRs and their importance for delivering business value Be an active member of our BA Community We’d like to meet someone with: Experience working as a Business Analyst, with eCommerce and/or retail environment experience, or exposure to enterprise scale search and categorisation projects You’ve worked across the full lifecycle project in both structured and agile environments Someone who takes ownership of tasks and is flexible in their approach to Business Analysis Experience in managing Senior Technology and Business stakeholders Business process modelling (preferably BPMN) experience Obsessed with delivering customer value quickly, iterating and learning – comfortable pushing back and challenging the status quo Able to articulate technical pieces of work, particularly illustrating the business value, considering all perspectives and being clear on the ‘why’ What’s in it for you… Generous salary, bonus and pension matching Great development programmes Amazing offices and great culture 25 days holiday Pro rata plus one extra day for your birthday Subsidised gym and canteen Huge staff discount and regular sample sales Life Insurance, medical care, cycle to work scheme And tons more… If you want to work in a place where fashion and technology make perfect partners, check out some of our opportunities and get in touch! Technology at ASOS ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed ‘twenty-somethings’ market. Our award winning Tech teams sit at the heart of our business. We deliver technical innovation and pioneer incredible solutions which are crucial to our continued success. We’re brave, creative and authentic; we’re extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow.
Asos London, UK
22/11/2018
Full time
ASOS burst onto the scene in 2000 and now has 9 country-specific websites, shipping to 240 countries. Our Head Office is based in London, along with several other key offices located around the globe, including the US, France, Germany and Australia. We have 80,000+ product lines with 3,000+ being added every week. We have over 3.2 million visits daily and over 13 million active customers. Our ambition is to be the world’s no.1 online fashion destination for 20-somethings, therefore it is vitally important to us that we continue to attract top talent across the globe to help us realise our goals.  We look for people who are:  Authentic Brave Creative We are looking for Machine Learning Scientists at multiple seniority levels to join ASOS AI. You will play a key role in helping ASOS to build machine learning propositions in areas that include computer vision, natural language processing and recommender systems. The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions. You will be part of a highly innovative team working on interesting and difficult problems, leveraging cutting edge technology to build data products used by millions of customers. The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, a bias towards action and attention to detail. What you'll be doing ... Assist with the implementation and scale-up of algorithms. Create prototypes for new features and turn machine-learning outputs into operational data products. Set up and conduct large-scale experiments to test hypotheses and drive product development. Leverage quantitative techniques to answer non-routine business problems. Analyse large, complex datasets to reveal underlying patterns, correlations and trends. We'd love to meet someone with... PhD or MSc degree or equivalent in Computer Science, Statistics, Engineering, Mathematics, Physics or similar quantitative discipline. Experience in solving large analytical problems using statistical, machine learning or other quantitative methods (e.g. supervised/unsupervised learning, graphical models, time series analysis, statistical testing) A good understanding of statistics (e.g., hypothesis testing, regressions) Proficiency in one or more programming/scripting languages (e.g. Python, SQL/Hive, Scala, R, C++/C#, Java, MATLAB, Perl, PHP) Ability to work collaboratively and proactively in a fast-paced environment interacting with both a non-technical and technical audience You may also have... Experience with distributed computing (Hadoop/Spark) Commercial mindset and keen interest in E-commerce or the online fashion industry Interest in keeping up with state-of-the-art machine learning by attending and submitting papers to relevant conferences. If you want to work in a place where fashion and technology make perfect partners, check out some of our opportunities and get in touch!
Asos London, UK
21/11/2018
Full time
ASOS burst onto the scene in 2000 and now has 9 country-specific websites, shipping to 240 countries. Our Head Office is based in London, along with several other key offices located around the globe, including the US, France, Germany and Australia. We have 80,000+ product lines with 3,000+ being added every week. We have over 3.2 million visits daily and over 13 million active customers. Our ambition is to be the world’s no.1 online fashion destination for 20-somethings, therefore it is vitally important to us that we continue to attract top talent across the globe to help us realise our goals.  We look for people who are:  Authentic Brave Creative ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do. We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed 20-something market. Our award winning Tech teams sit at the heart of our business. We deliver technical innovation and pioneer incredible solutions, which are crucial to our continued success. We’re extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow. As a BI Business Analyst at ASOS you will discover, delve into and analyse important data and use it to direct the decisions we make about the future of ASOS. You will join a nurturing Business Insights and Information Management function and will be fully supported as you hit the ground running and grow into an integral part of our ambitious growth targets. This is truly Big Data and you will use your investigative nature and problem-solving skills to understand how data and technology drives our business forward and you will innovate new ways that enable us to gain competitive advantage by understanding the masses of information we available to us. This is a rare opportunity to join an incredibly successful business that is still extremely dynamic in approach. Want to be a part of a great success story but still have the freedom to explore new and better ways of doing things? Get in touch… What you will be doing: Building strong relationships with end users, enabling them to get the most out of our BI solutions Analyse the scale and impact of the business change from the perspective of people, process, technology and data Work with the Data Services Leadership team and business stakeholders to identify and define the business problem and business case – be able to express the context of the change within the business strategy and BI Roadmap Elicit, analyse, validate, consolidate and prioritise the high level business requirements using appropriate requirements definition techniques Communicate the requirements using appropriate documentation and modelling techniques Collect and validate the non-functional requirements, including performance, implementation design, usability, security & audit, and appropriate legislative requirements Coordinate the definition, evaluation and agreement of the business solution options in collaboration with the BI Architect and BI Technical Leads Lead the refinement of the requirements and business solution definition, including acceptance criteria working closely with the key stakeholders Support QA activities by ensuring acceptance criteria are well documented and have the appropriate level of coverage Collaborate with the Agile Delivery Manager, Product Manager and Business stakeholders to plan post implementation assessments, benefits tracking and realisation – this includes supporting the business during warranty and ensuring that any defects or enhancement requests are well defined and prioritised appropriately Work as an ambassador for the technical capability of ASOS IT both internally and externally Work with IT Architects, technical specialists, third party software vendors and consultants to ensure that ASOS.com becomes an innovative developer and adopter of big data technologies Take part in team and department level meetings and functions Participate in and contribute to the ASOS Business Analysis Community of Practice Who we’d like to meet: You’re an experienced BI Business Analyst with a technical or mathematics background and a sense of humour, who wants to join a fun but fast-paced business where you can enjoy seeing the effects of your hard work. You’ll also have: Strong commercial BI Business Analysis experience in a fast-paced environment Significant experience of gathering and documenting high quality business requirements, interacting with business stakeholders through workshops, interviews & meetings, and written communication Proven experience of working closely with business stakeholders and IT teams to deliver robust and efficient solutions Experience of the full project lifecycle from project initiation through to benefits realisation Experience of working within structured and agile (SCRUM and Kan Ban) project environments Understanding of Big Data concepts Experience of data analysis and data profiling Experience of producing data mappings from source to target Able to actively manage own development and skills, with a clear awareness of own strengths and opportunities for growth Not essential, but it’ll be extra awesome if you have: Computer Science, Maths or similar degree ISEB/BCS Business Analysis Certification Exposure to: Cloud based databases; SQL Azure Experience of working in virtualized environments Principles of Data Stewardship and Data Governance If you want to work in a place where fashion and technology make perfect partners, check out some of our opportunities and get in touch!
Asos London, UK
21/11/2018
Full time
ASOS burst onto the scene in 2000 and now has 9 country-specific websites, shipping to 240 countries. Our Head Office is based in London, along with several other key offices located around the globe, including the US, France, Germany and Australia. We have 80,000+ product lines with 3,000+ being added every week. We have over 3.2 million visits daily and over 13 million active customers.  Our ambition is to be the world’s no.1 online fashion destination for 20-somethings, therefore it is vitally important to us that we continue to attract top talent across the globe to help us realise our goals.  We look for people who are: Authentic Brave Creative We are looking for a Machine Learning Scientist to join our Discovery Science team in ASOS AI. You will play a key role in helping ASOS to build out our discovery propositions, such as recommendation systems, personalisation algorithms and search engines. The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions. You will be part of a highly innovative team working on interesting and difficult problems, leveraging cutting edge technology to build data products used by millions of customers. The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, a bias towards action and attention to detail. What you'll be doing ... Assist with the implementation and scale-up of algorithms for bespoke recommendation engines. Create prototypes for new personalisation features and turn machine-learning outputs into operational data products. Set up and conduct large-scale experiments to test hypotheses and drive product development. Leverage quantitative techniques to answer non-routine business problems. Analyse large, complex datasets to reveal underlying patterns, correlations and trends. We'd love to meet someone with... PhD or MSc degree or equivalent in Computer Science, Statistics, Engineering, Mathematics, Physics or similar quantitative discipline. Experience in solving large analytical problems using statistical, machine learning or other quantitative methods (e.g. supervised/unsupervised learning, graphical models, time series analysis, statistical testing) A good understanding of statistics (e.g., hypothesis testing, regressions) Proficiency in one or more programming/scripting languages (e.g. Python, SQL/Hive, Scala, R, C++/C#, Java, MATLAB, Perl, PHP) Ability to work collaboratively and proactively in a fast-paced environment interacting with both a non-technical and technical audience You may also have... Experience with distributed computing (Hadoop/Spark) Previous experience with recommender systems Commercial mindset and keen interest in E-commerce or the online fashion industry Interest in keeping up with state-of-the-art machine learning by attending and submitting papers to relevant conferences. If you want to work in a place where fashion and technology make perfect partners, check out some of our opportunities and get in touch!