FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Staff Data Scientist – Network
ERLPhase Power Technologies Ltd.Staff Data Scientist responsible for Demand Forecasting at Relay. Leading model development and integration to optimize logistics operations.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Demand Forecasting methodologies, model building, and validation standards, with a strong focus on Python and SQL for data science applications. Proven ability to communicate complex concepts to non-technical stakeholders and ensure production quality across forecasting models.
Highest-signal resume keywords
Demand ForecastingPythonSQLTime-Series ForecastingAI Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceQuantitative ModellingStatistical ApproachesGradient BoostingDeep LearningModel BuildingModel ValidationOperational ProcessesModel Error QuantificationProduction Quality
Soft Skills
Communication with Non-Technical Stakeholders
Tools & Technologies
AI ToolsLLMsCode Assistants
Industry Keywords
Forecast InterfacesOperational ModelsFinancial Models
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own the integrated forecast end to end.
- Build the hardest models in the area.
- Set the methodology and validation standards for Demand Forecasting.
- Raise the technical bar.
- Define the forecast's interfaces.
- Learn the operational processes your models serve.
- Own production quality across the estate.
- Work with Finance to keep the handoff between operational and financial models reliable.
- Quantify the impact of model error on cost per parcel.
Requirements
What you’ll need- At least 8 years in a data science or quantitative modelling role.
- Strong Python and SQL.
- Experience with time-series forecasting across classical statistical approaches, gradient boosting, and deep learning.
- A deep track record of building and delivering models from ambiguous starting points.
- Ability to communicate with non-technical stakeholders with authority.
- Strong experience in using AI tools – LLMs, code assistants, etc.
Benefits
Comp & perks- Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success.
- Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it.
- 25 days of holidays.
- Enhanced parental leave.
- Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote.
- Hardware of your choice.
- Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).