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- Tasks: Build and improve simulation models for operational excellence in fulfilment centres.
- Company: Gousto, a forward-thinking company focused on data-driven customer experiences.
- Benefits: Flexible hybrid work, inclusive culture, and comprehensive benefits package.
- Why this job: Join a small team to shape advanced simulation capabilities and drive innovation.
- Qualifications: Strong knowledge of simulation technology and proficiency in Python.
- Other info: Dynamic environment with opportunities for personal growth and collaboration.
The predicted salary is between 28800 - 48000 £ per year.
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.
Simulation Scientist in London employer: Gousto
Contact Detail:
Gousto Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Simulation Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former Gousto employees on LinkedIn. A friendly chat can give you insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your simulation knowledge. Be ready to discuss how you've applied simulation technology in real-world scenarios, especially in supply chain or logistics.
✨Tip Number 3
Show off your coding skills! If you’ve got experience with Python, Java, or SQL, be prepared to share examples of your work. Maybe even bring a mini project to discuss during the interview!
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we want to see your application. We value diverse backgrounds and experiences, so go for it!
We think you need these skills to ace Simulation Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with simulation technology and coding skills. We want to see how your background aligns with the role of Simulation Scientist at Gousto!
Show Your Passion: Let us know why you're excited about simulation and how you envision contributing to our journey. A bit of enthusiasm can go a long way in making your application stand out!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experiences and skills, especially when discussing complex concepts. We appreciate clarity!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Don’t hesitate, apply today!
How to prepare for a job interview at Gousto
✨Know Your Simulation Stuff
Make sure you brush up on your knowledge of simulation technology and how it applies to real-world problems. Be ready to discuss specific examples from your experience, especially if you've worked with AnyLogic or similar tools.
✨Show Off Your Coding Skills
Since proficiency in Python is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing production-ready code and be familiar with Java, SQL, and PySpark as well.
✨Communicate Clearly
You’ll need to distil complex concepts for non-technical stakeholders, so practice explaining your past projects in simple terms. Think about how you can convey your ideas clearly and effectively during the interview.
✨Be Ready to Collaborate
As this role involves working in a cross-functional team, be prepared to discuss how you’ve successfully collaborated with analysts, engineers, and product managers in the past. Highlight your ability to work independently while still being a team player.
