Data Scientist at Gousto in London, England, United Kingdom

companyDescription Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner, and for every meal to leave the planet better off. Gousto is changing how people shop, cook and eat food at home. It’s an incredibly exciting time to join our team - and we’re a friendly bunch! We’re proud to be one of the fastest-growing companies in the UK. Powered by data and a love of food, we’re a recipe box company that’s disrupting the sector, and we’re passionate about our diverse team and our customers. All of our people are responsible for the success of Gousto, and we’re passionate about creating an inclusive environment for all to thrive. Our guiding values - Dream, Deliver and Care - show our commitment to innovation, our ambition to hit goals at speed, and our deep respect for the people we work with. jobDescription Location: London, Hybrid We’re excited to be hiring a Data Scientist to play a key role in driving customer retention and order rate performance at Gousto. In this role, you’ll build, improve, and deploy data science products that directly support menu trading decisions—helping us better understand our customers and deliver the right meals at the right time. You’ll ensure we’re capturing and leveraging the right data, applying the most effective algorithms to create impactful, scalable solutions. Working as part of a cross-functional team alongside product managers, analysts, and software engineers, you’ll continuously refine models to support Gousto WINs initiatives and unlock new opportunities for growth. You’ll also contribute to the OKR planning process, identifying areas for improvement and assessing feasibility to ensure we’re focusing on the highest-impact work. If you’re motivated by seeing your models drive real customer outcomes, this is a role where your impact will be clear and immediate! Core responsibilities Support Menu Planning: Partner with the menu planning team to effectively use data science optimisation tools to shape weekly menus. Drive Menu Improvements: Use simulation tools to identify opportunities, working with analytics and menu teams to design and run A/B tests on menu composition. Enhance Data Science Products: Continuously improve existing tools (such as menu planners, simulation tools, and optimisation models) to support new propositions and improve key trading metrics. Identify New Opportunities: Collaborate with senior data scientists and stakeholders to uncover and prioritise new data science opportunities within the menu domain. Reduce BAU Effort: Identify and implement improvements that reduce manual overhead and streamline processes for both data teams and stakeholders. Deliver Production-Ready Solutions: Follow best practices for deploying data products into production, while proactively suggesting improvements to architecture and processes. Improve Testing & Deployment: Support the ongoing development of testing and deployment capabilities within the squad to ensure robust and scalable solutions. Stay at the Cutting Edge: Keep up to date with the latest data science techniques and tools, applying relevant innovations to improve menu performance. Contribute to the Data Community: Share knowledge, promote best practices, and help strengthen the data science community both within Gousto and externally. Shape Team Culture: Play an active role in building a positive, inclusive, and collaborative culture across the data function and wider Gousto team. Who you are Applied Data Scientist: You have strong knowledge of optimisation and machine learning techniques, with experience applying them to real-world problems that drive measurable impact. Simulation Aware: You understand how simulation can be used to inform decision-making and improve outcomes, even if you’re not deeply specialised in it. Curious About Emerging Tech: You have an interest in GenAI and agentic AI, with an understanding of how they can enhance productivity and improve customer-facing experiences. Technically Strong: You are highly proficient in Python, with a working knowledge of SQL and PySpark for handling and transforming data at scale. Production-Focused: You have experience writing production-ready code and deploying data science products, even in environments with limited engineering support. MLOps Exposure: You have some experience working with platforms such as Databricks or AWS within an MLOps context. Collaborative: You’ve worked effectively in cross-functional teams alongside analysts, software engineers, and product managers to deliver end-to-end solutions. Customer-Focused: You have experience working with customer data, ideally within a subscription or e-commerce environment, and understand how data can drive customer outcomes. qualifications additionalInformation Benefits Click here to see our company benefits! Gousto is for everyone Whether it’s creating diversity in our recipes or building new teams, we care about our people and the opportunities they have at Gousto. Across our business we lead with inclusivity and strive for equality in all we do; working hard to ensure Gousto is an environment where you can be totally yourself. Everyone is welcome and we’re looking for applications from people of all backgrounds and experiences. Excited but wondering if you tick every box? We recommend applying anyway so that we can review your profile . And, if you’re in a job share, why not just apply as a pair. For our roles outside of Operations, most of our people spend 1 or 2 days in our offices every week, combining the benefits of flexibility and time together with colleagues. We want to enable you to do your best work, and if you require additional flexibility, please talk to us about it. If you have a disability that you’re worried will affect you during the interview process, please let us know and we will do our best to help you feel comfortable. We’d love it if you could submit your application online. If you require an alternative method of applying, please let us know. #LI-W1 #LI-Hybrid