At a Glance
- Tasks: Own and evolve a digital twin network simulator, building strategic models and forecasts.
- Company: Join the hottest logistics scale-up in Europe, transforming the industry.
- Benefits: Competitive salary up to £122.5k, enhanced parental leave, and VISA sponsorship available.
- Other info: Dynamic environment with opportunities for significant career growth.
- Why this job: Be at the heart of transformative projects that drive real commercial decisions.
- Qualifications: Experience in financial modelling, strong Python & SQL skills, and logistics background.
The predicted salary is between 122500 - 122500 £ per year.
Salary: up to £122.5k, up to 100% additional allotment based on performance in 1st year. Enhanced parental leave. VISA sponsorship available if needed.
This company is hands-down the hottest logistics scale up in Europe, taking the industry by storm and growing at an astronomical pace. Every parcel that moves through their network feeds a digital twin used by Finance to model unit economics end to end. The Senior Data Scientist in this role owns and evolves that simulator, and builds the next generation of strategic models on top of it — working directly with Strategic Finance and FP&A. If you want to be at the heart of something genuinely transformative, this might be for you.
What you'll be doing:
- Owning and evolving the digital twin — a network simulator covering unit economics end to end
- Upgrading simulation components as operating models, service types and cost drivers change
- Building new strategic models and forecasts inside or alongside the twin
- Partnering directly with Strategic Finance/FP&A to turn their questions into modelling problems
- Shipping production-grade code (Python, SQL, APIs) that others can build on
Must have requirements:
- Financial modelling, forecasting or simulation experience that's driven real commercial decisions
- Strong Python & SQL, comfortable owning your own data engineering
- Solid software engineering practices — tested, readable, modular code
- Systems thinker who can break down complex cost/operating models
- Confident explaining models to non-technical finance stakeholders
- Logistics or delivery network experience
- ML experience where it materially improves forecast accuracy
- Background embedded in or partnering closely with a Finance function
Senior Data Scientist (Network Simulation) in London employer: Wave Group
Wave Group is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from competitive salaries, flexible hybrid working arrangements, and opportunities for professional growth while contributing to impactful projects that modernize policing through advanced AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Network Simulation) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wave Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist (Network Simulation) at Wave Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wave Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist (Network Simulation) at Wave Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist (Network Simulation) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wave Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wave Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wave Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wave Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
