At a Glance
- Tasks: Build and maintain models that drive daily pricing decisions in a fast-paced logistics environment.
- 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: Work with a collaborative team and enjoy high autonomy in your role.
- Why this job: Be at the heart of transformative pricing strategies and make a real impact.
- Qualifications: Strong modelling skills, fluent in Python & SQL, and experience in dynamic pricing.
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 into thousands of pricing decisions, made every single day. The Senior Data Scientist in this role builds the intelligence behind those decisions — working alongside OR Scientists and Engineers to define and automate how the marketplace prices. If you want to be at the heart of something genuinely transformative, this might be for you.
What you'll be doing:
- Building and maintaining production models that drive 1000s of daily pricing decisions
- Investigating marketplace pricing dynamics to define how routes are priced
- Running experiments to measure the impact of model and pricing strategy changes
- Partnering with OR Scientists, Analysts and Engineers to automate pricing decisions end to end
Must have requirements:
- Strong modeller who thinks in systems
- Fluent in Python & SQL
- Experience modelling marketplace dynamics, pricing strategy, or a comparable domain
- Comfortable operating with high autonomy
- Clear communicator with non-technical stakeholders
- Real-time/dynamic pricing experience (ride-hailing, delivery, revenue management)
- Experimentation or causal inference background
- Prior work in marketplaces or two-sided platforms
Senior Data Scientist (Pricing) 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 (Pricing) 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 (Pricing) 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 (Pricing) 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 (Pricing) 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.
