At TUI, we see the application of decision and data science as a core source of competitive advantage in the drive to deliver a great holiday experience for our customers. This is a great time to join the team which is extending the application of data and analytics across TUI Airline, supporting our analytics roadmap and providing analytics expertise. The data scientist role will be part of our Airline Data Science Team working on key strategic projects across our Airline and the wider business. The role has accountability for the design and development of the analytical solutions using a variety of technologies, and techniques, and working alongside IT, business and other data science colleagues. The role will be based in Luton With this international flavour, some travel may be required. TUI is committed to investing into further enhancing our data science capability both from a technology and people perspective and have an increasing number of ambitious projects in progress or...

Summary HARNESS is hiring a Data Scientist to play a key role in developing the client-side data creation processes from a platform of connected sources. This is a fantastic opportunity to work with a small and highly capable team on cutting-edge data enablement solutions in the PropTech space. About HARNESS Harness Data intelligence (HARNESS) is on a mission to turn unstructured data into actionable insight, helping clients make better decisions and higher returns. As data enablers, we help innovators in real estate, insurance and FS maximise the returns of previously untapped, highly valuable data sets. Harness provides organisations with the solution to the problems of hidden, missing, missed, and unusable data, powered by instant extraction services and unrivalled connection technology. This is game-changing bespoke tech rolled out as two products: PDFx offers unparalleled document extraction accuracy and Data Fabric is a dedicated data management platform....

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together. Cameos is a revolutionary technology of animating the customer’s face given a single selfie, which works real-time on a wide range of mobile devices. We are looking for an experienced engineer who can make the difference and push the boundaries of the technology into the next level. The Cameos team is innovating new ways for Snapchatters to express themselves with their friends. With Cameos, you become the star of short, looping videos that you can customize with your own face and send to friends in Chat. We’re looking for a Machine Learning Engineer to join the Cameos team. As a member of the team you’ll help Snap lead the way in augmented reality and will work on features to empower our...

The Data Manager will work on the Researchfish Interfolio Data Services team and be responsible for maintaining and automating the harvesting, curation and quality of research impact data. The post holder will need to be able to develop an understanding of what the data should look like, analyse patterns in the data to identify potential problems (proactively or in response to a question), and suggest solutions and/or implement those solutions. The post holder will also need to oversee the cleaning/matching of data to external unique identifiers. This role is particularly focused on one of the Interfolio products which is the Researchfish system although there will be collaboration and learning shared across the whole organisation and the multiple Interfolio products. This individual will be part of a broader data council leading to the advancement of additional data products. Researchfish is an online platform which enables researchers to easily and quickly report the outputs,...

We provide a global marketplace where people can buy just about anything, anywhere, anytime. We're enabling real-time commerce across an expanding range of categories including local businesses, travel destinations, consumer products, and live events. Culturally, we believe that great people make great companies. Community matters to us, as it's fundamental to our company's growth and to the well-being of the world at large. We also value self-awareness, curiosity, honesty and fun at work. Business Intelligence is a key element in Groupon Coupons business. Our mission is to create a single version of the truth for the coupons business, seeking incremental business gains through data. We are looking for somebody who is equally at home discussing technical ETL details, alongside understanding business challenges and designing solutions accordingly. We want to help Groupon be engaging for both merchants and consumers and help to grow our marketplace. This position will be part...

Who we are: At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world. Job Description Summary: In 2021, iZettle became...

ML/ Machine Learning  Engineer Location: Bristol, UK with flexible remote working Full time / Permanent - part time & flexible working hours available Salary: Up to £70,000 per annum Vaarst is a deep tech company with artificial intelligence, autonomy, and computer vision at the heart of what we do. This role is for an experienced hands-on Machine Learning Engineer to join our ML production team. We require someone with a strong ML background with a passion for creating and implementing production level ML pipelines. You will be key to advancing our subsea capability across edge ML, SLAM, and Autonomy. You will get to: Make an impact in the energy transition space, helping the move from oil to renewables Working on cutting edge tech in AI, Machine Learning, Computer Vision, Big Data and Autonomy Be part of a great company with very talented people that will revolutionise an industry Continue to learn and...

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. We are looking for Machine Learning Scientists to join our team and play a key role in helping ASOS provide the best shopping experience to our millions of customers. The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing...

Job title:  Trainee Data Science Engineer Contract type:  Permanent Closing date:  24th January 2022 Location:  Edinburgh Royal London is the largest mutual life insurance, pensions and investment company in the UK. Since its foundation 160 years ago, Royal London has supported millions of people to protect and provide for themselves and their families. Our culture is welcoming, friendly, flexible and we aim to make you always feel included. We welcome applications from individuals who have taken an extended career break or those who are transitioning from different sectors. To support this we are always open to discussing flexible working arrangements and as we transition to hybrid working we will discuss working patterns or locations that ensure you have the freedom to be your best. It’s what makes Royal London a great place to work. We believe that being together some of the time will help our colleagues to feel truly connected to our Spirit of...

  Senior Machine Learning Engineer at Scaled Robotics Barcelona / Remote   As a Senior Machine Learning Engineer , you will be applying quantitative analysis, machine learning and other statistical methods to understand and improve our products that help optimize our clients' construction projects. In collaboration with our vision and robotics teams, you will actively contribute to key company projects in 3D deep learning, 3D classification and semantic segmentation. Your responsibilities: Collaborate with cross-functional teams to analyze and improve our users' experience. Apply machine learning, computer vision, and deep learning algorithms to extract insights from our data set Develop and maintain ML data pipelines and continuously improve internal ML models with insights from latest published research and state of the art. Implement prototypes to demonstrate potential value and validate ideas Communicate the...