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6 дней назад

Senior Data Scientist - Neural Net Forecasting

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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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