At a Glance
- Tasks: Own a core domain in the forecasting engine and build impactful models.
- Company: Join Europe's hottest logistics scale-up, transforming the industry with data.
- Benefits: Competitive salary up to £122.5k, enhanced parental leave, and VISA sponsorship available.
- Other info: Dynamic environment with opportunities for career growth and influence.
- Why this job: Be at the heart of transformative logistics and make a real impact.
- Qualifications: 5+ years in data science, strong Python & SQL skills, and logistics experience.
The predicted salary is between 60000 - 75000 £ per year.
Salary: up to £122.5k with up to 100% additional allotment based on performance in the first year.
Enhanced parental leave and VISA sponsorship available if needed.
This company is a leading logistics scale-up in Europe, growing at an impressive pace. Every parcel that moves through their network generates thousands of data points that feed the forecasting engine powering operational decisions such as shifts, dispatch, routing, and expansion.
The Senior Data Scientist in this role owns a core domain within that engine, sitting in the company's largest and most data-rich squad. If you want to be at the heart of something genuinely transformative, this might be for you.
What you'll be doing:
- Owning a core domain in the forecasting engine (demand, expansion, parcel intelligence or sortation).
- Building and maintaining models from exploration through to production deployment.
- Monitoring live model performance and improving accuracy over time.
- Translating problems from Sortation, Middle Mile, Last Mile, Routing and Commercial into data science problems.
- Quantifying model impact on cost per parcel to help prioritise the roadmap.
Must have requirements:
- 5+ years in data science or quantitative modelling, ideally with time-series forecasting.
- Strong Python & SQL skills across the full modelling lifecycle (extraction to production).
- Track record of taking models from notebook to production, monitored and trusted.
- Experience communicating model reliability to non-technical stakeholders.
- Comfortable working from ambiguous starting points.
- Logistics or delivery network experience.
- Machine Learning experience where it materially improves forecast accuracy.
- Comfortable using AI tools (LLMs, code assistants) to accelerate workflow.
- Experience influencing technical direction as a team scales.
Senior Data Scientist (Forecasting) 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.
