Data Scientist at Gousto

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Reinforcement Learning, Customer Behaviour, Data Science, Python, Data Analysis, Communication, Commercial Awareness, Problem Solving, Data Product Performance, Personalisation, Churn, Campaign Optimisation, Lifetime Value Modelling, Price Optimisation, AWS, Databricks

Industry

Food and Beverage Services

Description

Company Description 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. Job Description Location: London, Hybrid At Gousto, our data teams are central to our ability to deliver an amazing customer experience. We do this by delivering change through cross functional squads grouped into four tribes, each focussed on a different part of the customer journey. Our band B-D data scientists are each embedded in a squad on a quarterly basis, working alongside product management, software engineering, and other functions. The specific squad for each quarter is determined based on business priorities. You will be part of the Activate tribe which aims to understand the behaviour of our customers, from what promotional offers are most suitable to each customer to when they might be looking to pause their subscription. Data science plays a key role in achieving this. You will work as part of one of the Rockets, Beetroots or Tomatoes squads to build and maintain machine learning and reinforcement learning models that improve the customer experience across all stages of the customer journey. You will interact with the wider marketing and data teams to understand where the biggest challenges are in order to inform your priorities. We believe that if you build something, you should run it too. This means that our data scientists take ownership over the entire process from ideation to deployment, as well as automation and maintenance. Knowing our data products inside-out allows us to keep learning and improving. We have big plans for the future, hence we are looking for creative thinkers to help drive the business and disrupt the online grocery market by leveraging machine learning and optimisation. You will work with amazing colleagues and look forward to solving challenging problems that will have a significant impact on the product and our customers. You’ll recognise when to meet complex problems with advanced solutions or when a simple approach cuts through all complexity. Most of all, you are excited about Gousto’s mission and product and really enjoy working with the team. Core responsibilities Developing machine learning and reinforcement learning models to predict customer behaviour Working with business users, data scientists and analysts in the Activate tribe to help them make the best use of the models you have developed. Reporting back to the wider team on the status of our models to keep them updated on progress and to escalate any blockers Working with the wider team to prioritise which models to build next Helping to educate the wider team, including senior stakeholders on the value of data science within Activate Who you are You have experience building machine learning models, preferably in the customer acquisition or retention domains (for example: personalisation, churn, campaign optimisation, lifetime value modelling, price optimisation). You are excited about understanding our customers and building products to address their needs. You have high commercial awareness and are able to deliver value iteratively through quantified experiments. You are experienced in managing and measuring data product performance. You are experienced in using Python (and relevant libraries) and comfortable upskilling yourself in our current data science toolkit (DataBricks). You have experience communicating highly technical work to non-technical stakeholders. You distil complex problems into simple pieces, and have excellent verbal and written communication skills. You thrive in a fast-paced, high growth, technology focussed organisation. Nice to haves You are comfortable productionising data science algorithms with either AWS or Databricks You have experience with reinforcement learning in a practical setting You have experience using genAI/Agentic AI both for individual productivity and also applied to customer facing opportunities Additional Information 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 Employee Type: FTE - Full Time Division: Data

Responsibilities

Develop machine learning and reinforcement learning models to predict customer behavior and work with business users to optimize the use of these models. Report on model status and help educate the wider team on the value of data science.