Revolutionise money saving,Get the right deals at the right times, without the hassle of searching online or haggling on the phone. We’ll negotiate with brands on your behalf to create private discounts that you won’t find anywhere else. It’s instant, easy and rewarding. The way deal finding should be.

Our mission is to empower consumers to get better and more tailored offers from responsive merchants. 

ctrlio Ropemaker St, London, UK
02/01/2019
Full time
As a small close-knit startup, building SaaS software for consumers and businesses is a large part of what we do to analyse data and provide insights. We use Python for our data-science and serve those insights out via a web-service. The ideal candidate must have a passion for building maintainable, reliable software and sharing their own ideas. You will work closely with UI, product and partner teams, so being able to collaborate and sprint together is important. At ctrlio, every member of our team has an essential voice in defining the product we deliver and this exciting opportunity gives you the chance to change the digital marketplace. What you'll need to be successful 6+ years commercial software engineering experience expert in python; modern python frameworks (e.g. Flask, RESTPlus) solid background in an agile environment; building high-quality, well tested software experience with relevant software development methodologies; Agile / SCRUM, TDD, CD/CI, GitHub / BitBucket, JIRA experience of building reliable, scalable, high performance solutions relevant industry experience; Adtech / ad exchanges, Ecommerce, Web analytics, Privacy & PII (no, not PPI, we promise) solid background in unit and integration testing (pytest, hypothesis), Web technologies (HTML, CSS, AJAX), HTTP, cookies, web security, cross-domain issues and databases experience with maintaining excellent coding conventions and standards (e.g. PEP 8/257) strong communicator with the /ability to present your own ideas with a 'get things done' attitude (we are a startup after all) the ability to mentor junior engineers and collaborate with other senior engineers on how to approach complex problems ideally, experience with native python data handling frameworks; pandas, numpy, scipy nice to have knowledge of; JavaScript, MySQL, MongoDB, Amazon AWS, Mobile (iOS / Android), Git What you'll achieve: 3 months understand our business, and how we are trying to change the world participate in sprint reviews and work closely with engineers and product owner to nail down requirements deploy high-quality, well tested software in an agile environment understand the data science that powers ctrlio's core analytics and how we might extend it even further 12 months become highly knowledgeable about ctrlio products be a bastion for quality while helping other engineers reach exacting standards mentor junior teammates with patience and help build a bar-raising team experience building large-scale web apps with a reusable component architecture be instrumental in building a platform to deliver complex analytics in real-time, at a massive scale What you'll get from us We realize exceptional people don't choose jobs based solely on benefits, but we do our best to make sure that you're set up for success, so you can do your best work. At ctrlio, contributory pension, 25 days holiday + 2 duvet days. Plus the fun stuff, like our off-site team away days to discuss culture and strategy, Summer and Christmas party, stocked fridge / box with healthy snacks and drinks and for the caffeine lovers a fab coffee machine. About ctrlio Our mission is to empower consumers to get better and more tailored offers from responsive merchants. We do this by enabling people to publish their buying intentions enriched with enough personal data to allow merchants equipped with ctrlio's smart analytics, to compete and bid for their business. This transforms both the way that personal data is used and the way that businesses acquire and retain customers. The fit with consumer empowerment and GDPR is perfect. Currently, we are engaged with price comparison sites across Europe to build products that power mobile, broadband, energy and insurance products and see this scaling into a powerful platform addressing many more product and service sectors over the coming 24 months. Hiring exceptional people who want to build a great company together is our number one priority, and we are committed to providing an equal opportunity workplace where everyone is supported and inspired to do their best work. We're growing fast, and there's plenty of opportunity for you to make an impact -- join us!
ctrlio UK
29/12/2018
Full time
We are expanding the ctrlio team and are looking for a talented fulltime data scientist (permanent or contract), with experience working on large datasets to help us build the technology to drive the next generation of user-centric price comparison services. The role requires experience developing productised machine-learning solutions, ideally using Python. We are looking for somebody who can identify and deliver the most pragmatic solutions while also enjoying the more creative side of data exploration. As a small close-knit start-up, building SaaS software for consumers and businesses you will work closely with other data scientists, developers, UX/UI, product and partner teams, so being able to collaborate and sprint together is important. At ctrlio, every member of our team has an essential voice in defining the product we deliver, and this exciting opportunity gives you the chance to change the digital market place. What you'll need to be successful A minimum of 2 years commercial experience as a data scientist A degree in Mathematics, Computer Science, Engineering, Statistics or a related discipline An ability to work under pressure and to adhere to strict deadlines whilst maintaining accuracy Experience using quantitative data analysis to solve problems and answer questions Experience of predictive modelling techniques (e.g. Logistic Regression, Decision Trees etc.) Building and implementing machine-learning solutions at scale (in a commercial environment) Understanding and working knowledge of multivariate statistical analysis, probability distributions, central limit theorem etc Python expertise (Pandas / NumPy / Scikit-learn) Experience using git / gitflow Nice to have Experience of web analytics and behavioural analytics Experience in relevant domains (mobile, broadband, insurance, utilities) Dask (python scalable analytics library) Spark/PySpark Experience with pricing and predictive modelling in the insurance industry What you'll achieve 3 months Become familiar with the ctrlio business Participate in sprint reviews and work closely with other data scientists and product owner to nail down requirements Develop high-quality, well validated predictive models on large datasets 12 months Become highly knowledgeable about ctrlio products Be a bastion for quality while helping other data scientists reach exacting standards Take lead on data science projects in a new business vertical What you'll get from us We realize exceptional people don't choose jobs based solely on benefits, but we do our best to make sure that you're set up for success, so you can do your best work. At ctrlio, contributory pension, 25 days holiday + 2 duvet days. Plus the fun stuff, like our off-site team away days to discuss culture and strategy, Summer and Christmas party, stocked fridge / box with healthy snacks and drinks and for the caffeine lovers a fab coffee machine. About ctrlio Our mission is to empower consumers to get better and more tailored offers from responsive merchants. We do this by enabling people to publish their buying intentions enriched with enough personal data to allow merchants equipped with ctrlio's smart analytics, to compete and bid for their business. This transforms both the way that personal data is used and the way that businesses acquire and retain business. The fit with consumer empowerment and GDPR is perfect. Currently, we are engaged with price comparison sites across Europe to build products that power mobile, broadband, energy and insurance products and see this scaling into a powerful platform addressing many more product and service sectors over the coming 24 months. Hiring exceptional people who want to build a great company together is our number one priority, and we are committed to providing an equal opportunity workplace where everyone is supported and inspired to do their best work. We're growing fast, and there's plenty of opportunity for you to make an impact -- join us!