6 дней назад
Senior Data Scientist - Neural Net Forecasting
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist - Neural Net Forecasting (Forecasting/Statistical Modelling): Designing and deploying forecasting and statistical modelling solutions for large-scale retail time series with an accent on neural networks, rigorous validation, and scalable productionisation. Focus on building time-aware backtesting pipelines, blending data sources, quantifying uncertainty, and delivering reliable predictions through cloud and big data architectures.
Location: Welwyn Garden City, United Kingdom; hybrid working with 60% of the week at office locations or local sites and the remainder remotely
Company
Tesco combines supermarket retail, technology services, and a mobile network to improve experiences for customers, colleagues, and communities.
What you will do
- Design and improve forecasting and statistical modelling solutions for large-scale retail and business time series.
- Blend data from multiple sources to explain historic behaviour and generate forward-looking predictions and scenarios.
- Build training, validation, and backtesting pipelines with time-aware evaluation, leakage controls, and stability checks.
- Productionise models with monitoring, retraining strategies, and performance and cost optimisation.
- Collaborate with engineering, product, and business partners to deliver reliable, scalable models and measurable business value.
- Drive innovation, represent data science externally, and mentor junior team members and interns.
Requirements
- Senior-level experience designing and modifying advanced algorithms for large datasets.
- Meaningful academic or industrial experience in forecasting or probabilistic/statistical modelling.
- Strong understanding of mathematics, statistics, time series analysis, and numerical methods.
- Strong programming skills, with Python preferred, plus software engineering practices including version control, unit testing, and CI/CD.
- Experience with big data and cloud technologies; PySpark is preferred.
- Ability to validate, document, present, and clearly explain complex modelling solutions to non-experts.
Nice to have
- Experience in risk or volatility modelling, econometrics, scenario modelling, uncertainty quantification, causal analysis, or long-range planning.
- Project and stakeholder management experience.
- Experience developing and deploying models in cloud environments.
Culture & Benefits
- Hybrid working model with office and remote flexibility.
- Annual bonus scheme of up to 20% of base salary.
- At least 25 days of holiday plus a personal day and bank holidays.
- Private medical insurance and a free 24/7 virtual GP service.
- Paid maternity, adoption, and paternity leave, subject to applicable eligibility conditions.
- Employee Assistance Programme and access to mental wellbeing support.
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