Simulation Engineer at Gousto

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Simulation Technology, Python, Java, SQL, PySpark, Production-Ready Code, Operational Processes, Supply Chain, Logistics, Fulfilment, AnyLogic, Optimisation Techniques, Machine Learning, Experimental Framework, Simulation Tooling, Stakeholder Interaction

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. You will be part of our Unbox tribe, working in a cross-functional squad to build and improve simulation models used to support operational excellence in our fulfilment centres. Your work will help test proposed changes to operations, evolve existing data science products, and identify opportunities for cost savings and process improvements. As this is a small team, you will need to be comfortable working in relative autonomy while collaborating with analysts, software engineers and product managers. You will help identify new opportunities for simulation, support discovery work to understand value and feasibility, and contribute to enhancing our experimental framework and simulation tooling. We are still early in our simulation journey, but we have the ambition to build one of the most advanced simulation capabilities in the world — blending simulation, machine learning and optimisation to enable innovation at scale. We are therefore looking for someone highly motivated, technically strong and excited about shaping this area for the future. Core responsibilities Iteratively improving our existing fulfilment centre simulation capability to meet new proposition requirements and improve key business metrics Owning part of our simulation product portfolio and supporting its roadmap Enhancing our experimental framework by contributing proactively to simulation tooling Working with senior simulation leaders to identify broader simulation opportunities within the fulfilment domain and supporting discovery to validate value and feasibility Identifying and implementing opportunities to reduce BAU overhead for existing products Collaborating with engineering and data teams to deploy simulation products that meet performance requirements while minimising cost Interacting with stakeholders to support decision-making using simulation outputs Contributing to the wider data community through knowledge sharing and best-practice promotion Supporting OKR planning by raising potential improvements and carrying out feasibility assessments Who you are (we’re looking for candidates who can demonstrate most of the following): Strong knowledge of simulation technology applied to real-world problems Proficient in Python, with working knowledge of Java, SQL and PySpark Experience writing production-ready code and deploying products with limited engineering support Knowledge of operational processes (e.g., Supply Chain, Logistics, Fulfilment) Experience with AnyLogic is a strong plus Understanding of optimisation techniques and how they interact with simulation engines Comfortable working independently within a cross-functional environment Strong communication skills and ability to distil complex concepts to non-technical audience Thrives in a fast-paced, high-growth organisation Nice to haves Preferred – MSc or PhD in applied mathematics, natural sciences, computer science or engineering, with evidence of strong coding skills. Alternative – BSc in one of the above disciplines, with significant experience building simulation models in a commercial environment. 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

The role involves iteratively improving the existing fulfilment centre simulation capability to meet new requirements and owning a part of the simulation product portfolio, including supporting its roadmap. Responsibilities also include enhancing the experimental framework, identifying broader simulation opportunities, and collaborating with engineering teams for deployment.