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В Tesco хорошо очерчена роль с симуляционным моделированием на Python и сильным пакетом льгот, но без данных о зарплате сложнее оценить общее предложение.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist - Simulation and Digital Twins (Python/simulation): Developing and connecting simulation models to evaluate and improve Tesco operations and supply chain decisions with an accent on distributed simulations, model validation, and operational data analysis. Focus on building models at different levels of fidelity, running scenario experiments, and delivering reliable simulation tools through version control, automated testing, and repeatable deployment.
Location: Welwyn Garden City campus, United Kingdom. Hybrid working with 60% of the week spent collaborating at office locations or local sites and the remainder remotely.
Company
Tesco is a retail and technology company operating across stores, online services, supply chain, marketing, Clubcard, and mobile communications.
What you will do
Build and maintain Python-based simulation models for operational and supply chain problems.
Develop models at different levels of fidelity, balancing accuracy, available data, and computing requirements.
Connect models across tools and computers in distributed or federated simulation environments.
Prepare operational data, validate models against real-world results, and analyse variation and uncertainty.
Run repeatable scenario experiments to assess capacity, cost, service, and resource-use trade-offs.
Contribute to agile delivery, code reviews, version control, automated testing, and reliable software releases.
Requirements
Strong Python programming skills and the ability to write clear, structured, and testable code.
Experience with simulation modelling, data analysis, basic statistics, and representing real-world processes at different levels of detail.
Understanding of how separate models or software components exchange data and work together.
Familiarity with Git, automated testing, software delivery practices, and agile teamwork.
Ability to explain technical work clearly, document assumptions, and communicate findings.
Background in engineering, computer science, mathematics, physics, operational research, or equivalent practical experience.
Nice to have
Experience with distributed or federated simulation environments.
Exposure to simulation interoperability standards, multi-fidelity models, automated testing, or deployment.
Experience building or adapting simulation models using object-oriented programming and data science methods.
Culture & Benefits
Hybrid working model with office or local-site collaboration and remote work.
Annual bonus scheme of up to 20% of base salary.
25 days of holiday plus a personal day and bank holidays.
Private medical insurance and a 24/7 virtual GP service.
Paid maternity, adoption, and paternity leave, plus an Employee Assistance Programme.
Inclusive and accessible recruitment process with workplace support available.
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