About usFood waste is a $1 trillion problem – costing the world over 1% of global GDP. We’re dead set on solving the problem and looking for people to help us achieve our mission. We, at Winnow, believe that food is far too valuable to waste, and that technology can transform the way we produce food. Our team is made of people who all share a passion for food and technology.Winnow was founded in London in 2013 to help the hospitality industry prevent food waste through internet of things tools in the kitchen. We have worked with thousands of sites and are operating in over 90 countries around the world supported by our offices in London, Dubai, Singapore, Cluj-Napoca (Romania) and Chicago. We are a scale-up stage company with a strong base of clients who are rolling out our system globally. We have blue-chip customers including Accor Hotels, IKEA, IHG, Marriott, Compass Group and many others.Winnow’s clients on average reduce waste by over 50% by value and sustain savings. Winnow works with hotels, universities and schools, staff restaurants, event/hospitality kitchens, buffets, pubs, and high street restaurants. Where the system is permanently adopted, pre-consumer waste value is reduced by 50% - 70% with no detrimental impact to the perceived quality or value of the offer to their customers. This represents a typical improvement of food cost savings of 3% to 8%, commonly a 40%+ increase in profitability for operations.As the global leader in addressing food waste, we are committed to continue pushing the envelope on what technology can do to solve this problem. Winnow Vision, our new artificial intelligence-based technology, is trained to automatically track all food waste thrown away. It has won awards at the World Economic Forum and has received tremendous enthusiasm from our clients and the industry. You can read more about it on<a href="https://blog.winnowsolutions.com/winnow-is-automating-food-waste-management-with-ai"> our website</a>.Winnow has recently been ranked #4 in the <a href="https://forwardfooding.com/foodtech500/">Global FoodTech 500</a> for 2025, recognising our position among the world’s leading innovators at the intersection of food, technology, and sustainability. We have also consistently been recognised in the FoodTech 500, the world’s first definitive list of global entrepreneurial talent in this space, further reinforcing our impact in the industry. Other recent accolades include being listed in the 2025 <a href="https://www.thetimes.com/best-places-to-work/medium-companies/article/best-medium-companies-uk-2025-6h5mzgkwc">Sunday Times Best Places to Work</a>, a recognition based on feedback from our UK team. While this award is UK-based, it reflects something global: a culture built on purpose, collaboration, and the belief that businesses can - and should - tackle real-world problems while being great places to work. Winnow was also named among Impact 50’s most impactful companies to work for. You can read more about it<a href="https://blog.winnowsolutions.com/winnow-named-an-impact-fifty-winner"> here</a>.We are passionate about living our values and place them at the centre of everything we do. We are excited about like minded talent who share these values, joining us in our mission:Equal parts head and heart. We’re both passionate and measured. We carefully balance the need for quick solutions and pragmatism with the ability to step back, take in the bigger picture and build for the long term.Bravely honest. With each other, that means we’re a transparent organisation where healthy, respectful debate is encouraged. With our customers, we challenge them if we don’t think they’re achieving their goals, whether they be environmental or financial.People of action. Done is better than perfect, and we learn by boldly doing then rapidly improving. We’re breaking new ground, so we know things might go wrong. But we judge ourselves and each other on our reaction and our resilience.Bound by food. We’re a diverse bunch, but our belief in the value of food is the common thread in everything we do. With each other, we celebrate through our love and respect for food. With our customers, it means we work hard to develop creative tools to make it easy for chefs to value food.Hungry and humble. Our product is revolutionary, our people are impressive, and we’re hungry for change. But, we’re just the catalyst for a bigger movement. We stay humble regardless of our success, and make chefs the heroes in this journey.People and planet positive. We’re caretakers of the planet, helping to preserve and support it for now and the future. Our work already minimises the impact that the hospitality industry has on the planet, and we’re also committed to actively reducing our own footprint while doing so. We’re leaving the planet and its people better off than we found them.This is an opportunity to join an exciting organisation and help us propel our growth at what are truly the most exciting and dynamic points in time in our business. You will work alongside a driven team who are motivated by building an exciting business and leaving the world a better place than we found it.About the teamThe Data team plays a critical role in the continuous improvement of our flagship product - Winnow Vision. We've collected millions of images of food items already, and keep collecting thousands every day from the kitchens we operate in. Those images need to be processed, curated and structured to optimise the quality and accuracy of our AI models. Managing this big data pipeline is no easy task: we operate across the world, in a wide variety of industries and our model needs to recognize food ranging from the Malay Nasi Goreng to the American fried chicken, and everything else in between.We have come a long way - from long data collection time and training small AI models for very specific clients, we have now managed to generalise our approach and can now deploy AI models to almost any kitchen in the world in a matter of a couple of weeks. However, there are still many challenges ahead - today we present a top selection of items to our clients and they confirm the right one - our ambition is to become completely touch less. How can we make our models more confident and more accurate, that is the question!We are investing in developing new products and services, and this role is responsible for leading data analysis for these innovations. About the role:As a Data Scientist, you will be reporting to the Data Scientist Lead and will have a wide range of responsibilities which includes:<ul><li>Use your data skills to enhance the confidence and accuracy for our AI models</li><li>Developing and refining complex queries and reports to help other team members execute their roles</li><li>Performing ongoing data analysis to present back insights to clients</li><li>Shape our data processes to optimize efficiency while reducing costs</li><li>Imagine and deliver insightful analysis aiming at improving our user experience</li><li>Monitor and manage the existing fleet of models in the field, and ensure new clients benefit from AI no less than 1 month after installation</li><li>Produce and track key performance indicators</li><li>Take on more complex data analysis problems</li></ul>RequirementsExcellent numerical and analytical skills<ul><li>Strong knowledge in SQL and Python required and willingness to learn more</li><li>Experience handling large data sets</li><li>Experience visualising large datasets</li><li>Experience with AWS </li><li>Experience using Claude to simplify and streamline tasks</li><li>Comfortable using macros and formulas such as vlookups, sumifs, and pivot tables</li><li>Experience with Grafana, JupyterHub, postgreSQL is a plus</li><li>A willingness to learn and suggest machine learning approaches to solving data problems</li></ul>Effective verbal and written communication skills<ul><li>Ability to turn data into insights and present these insights effectively </li><li>Ability to adapt communication style to suit different audiences </li><li>Ability to facilitate group discussions</li><li>Attention to detail. Ability to develop accurate written materials</li><li>Action oriented. Ability to follow-up on feedback to ensure positive outcomes</li><li>Comfortable training others to develop data skills</li></ul>Pro-active and critical thinker<ul><li>Ability to think out of the box and not afraid to speak up</li><li>Ability to create new processes from scratch</li><li>Ability to influence others to follow best practices</li><li>Flexible and willing to take on new challenges as they emerge</li></ul>Benefits<ul><li>Company stock options package </li><li>Meal tickets - 40 RON per working day</li><li>2 Wellness hours per month plus a 274 RON gross monthly wellness allowance or the option to swap the wellness allowance for a 7Card subscription </li><li>25 days of paid vacation time in addition to national holidays, plus the option to buy a further 5 days annual leave </li><li>Company part-funded private health insurance and eye care allowance</li><li>Life insurance (3 times base salary) </li><li>Employee Assistance Programme - 24/7 helpline for your wellbeing</li><li>Learning and development allowance of 1,730 RON annually </li><li>Hybrid way of working - we’re all in the office on Wednesdays and Thursdays</li><li>Company provided breakfast &amp; snacks on office days</li><li>Early Finish Fridays - log off at 3 PM on a Friday if you have completed your tasks by then</li><li>Our own office space with a great working environment </li><li>You will love what you do – waking up every day solving one of the biggest social problems of our generation - food waste</li><li>Committed team members with broad experience who share a common passion to build a world class business</li></ul>

Kitchens using Winnow know exactly what they're putting in their bins. At Winnow, we help the food service and hospitality industry cut down on food waste by making the kitchen smarter.With <a href="https://www.winnowsolutions.com/vision?hsLang=en" rel="noopener noreferrer" target="_blank">Winnow Vision</a>, our AI-enabled tool, kitchens can automatically track food waste. Winnow Vision uses computer vision to help chefs easily pinpoint waste, cut costs and save time. The system takes photos of wasted food as it's thrown away and, using the images, the machine trains itself to recognise what has been thrown in the bin. This means that, over time, food will be thrown in the bin and the data will be captured automatically. This increases data accuracy and ease of use.Simple and intuitive to use, the <a href="https://www.winnowsolutions.com/en/product?hsLang=en" rel="noopener noreferrer" target="_blank">Winnow Waste Monitor</a> comprises a digital scale and a connected tablet. Using any bin, team members throw food away in the usual way. The weight is recorded and then the user selects the reason and identifies the item/dish using the tablet.

Data Scientist

About the Job

About the Company

Winnow

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