Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design simulation models to boost business efficiency and enhance customer outcomes.
- Company: Leading meal kit company in London with a focus on data-driven decision-making.
- Benefits: Flexible hybrid work, mentoring opportunities, and personal growth.
- Why this job: Make a real impact on business decisions while working with cutting-edge data science tools.
- Qualifications: Proficient in Python and AWS, with experience in deploying data science solutions.
- Other info: Collaborative environment with opportunities for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading meal kit company in London is seeking a Senior Simulation Engineer (Senior Data Scientist) to enhance data-driven decision-making. You will design simulation models that directly influence business efficiency and customer outcomes.
Ideal candidates are proficient in Python and AWS, experienced in deploying data science solutions, and passionate about collaboration in cross-functional teams.
This role offers a flexible hybrid work environment as well as opportunities for mentoring and personal growth.
Senior Simulation Engineer, Data Science for Production employer: Gousto
Contact Detail:
Gousto Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Simulation Engineer, Data Science for Production
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that showcases your simulation models and data science solutions. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and AWS. We can find plenty of resources online to help us ace those coding challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress easily!
We think you need these skills to ace Senior Simulation Engineer, Data Science for Production
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and AWS right from the start. We want to see how your technical skills can enhance our data-driven decision-making!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your experience aligns with the role of Senior Simulation Engineer. We love seeing candidates who take the time to connect their background with our needs.
Be Collaborative: Since this role involves working in cross-functional teams, share examples of how you've successfully collaborated in the past. We value teamwork and want to know how you can contribute to our culture!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Gousto
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've deployed data science solutions, as this will show your practical experience and technical prowess.
✨Showcase Your Simulation Skills
Prepare to talk about your experience designing simulation models. Think of examples where your work has directly influenced business efficiency or customer outcomes, and be ready to explain your thought process and methodologies.
✨Emphasise Collaboration
Since this role involves working in cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Highlight any mentoring experiences too, as they align well with the company's focus on personal growth.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects or challenges they face in data-driven decision-making, which can demonstrate your enthusiasm and strategic thinking.
