Personalisation is Our Passion
Does disrupting the way a trillion-pound industry operates sound like an exciting challenge?
Dressipi’s passion is to transform the way retailers engage with their customers by personalising the entire shopping journey instore and online. By combining rich data with machine learning and AI technology, Dressipi matches customers with products and experiences to influence behavior at scale.
Backed by a great group of investors, Dressipi is trusted to deliver real impact to the bottom line for some of the largest retailers including John Lewis, Arcadia Group and others.
Join our Team
We are a multi-award winning business working on ground-breaking technology that is having a real impact. By joining our team we can offer you something fantastic.
Be Part of a High Quality Team
Work alongside people who care about what they do and strive to do their best. Together, we tackle difficult data and software challenges by listening to one another, seeking feedback and being smart and pragmatic.
Have an Impact
We believe that success comes from putting the customer first and solving real problems. Our work gives millions of people every day the confidence to make better purchasing decisions. Our insights help retailers make better quality products and solve the inefficiencies in retail.
Be an Owner
We believe everyone should share in the success of the company. That’s why every team member has a generous equity stake and a competitive salary.
Happiness and Well-Being
We are a relaxed, open, friendly group of people who believe everyone can achieve their personal and professional goals in life.
Work With Us
We are always on the look out for exceptional people who share our passion for predictive retailing. Take a look at our open job positions below.
If you have what it takes, please send your CV and any relevant examples of previous work (eg: websites, apps, Stack Overflow or GitHub profile) to firstname.lastname@example.org.
Interested in disrupting the trillion-pound retail industry? We’re tackling one of the hottest and most challenging problems in Machine Learning: building a personalisation system that understands fashion.
Where you can make an impact
For Dressipi, machine learning and statistical modelling are the keystones to predicting customer behaviour and intent, analysing which clothes will look great on a customer and providing fashion-specific recommendations.
As a Data Scientist in the Dressipi team, you will be responsible for designing and improving our recommendation algorithms and models. Your work will directly impact end consumers in the form of personalising shopping journeys and communications, both online and instore.
We are looking for people that are passionate about data and have love and tenacity for solving hard and diverse problems.
We are not a traditional tech start-up; it is an exciting environment with a diverse group of people, combining the best talents in all disciplines.
Apply data-mining, machine learning and graph analysis techniques for a variety of modelling and relevance problems involving customers, their relationships and their fashion preferences
Build scalable statistical models that learn from large volumes of data and produce real-world value that can be measured
Translate business goals into data questions, investigate them and ultimately design new algorithms that can be rolled out in our offering
Don’t just apply existing algorithms, be involved in creating new ones
Understand evaluation frameworks, A/B testing and statistical measurements of success
Collaborate with colleagues from engineering, retail and business backgrounds
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
Masters or PhD in a relevant field (computer science, machine learning, statistics, math, etc.)
Experience applying statistical models and/or machine learning to real-world problems
Solid SQL skills and one more programming language such as Python/Java/C/Ruby/R
Research mindset and scientific rigour
The will and ability to pick up new technologies and approaches as required
Excellent team-work and communication skills
2 or more years of work experience
Knowledge of recommender system algorithms
Experience writing production-quality code, version control, pull requests
Experience using Ruby
Please send your CV and any additional info to email@example.com