Deep Learning Forecasting Scientist for Retail Time Series (Hybrid)

Tesco; Welwyn Garden City; Hybrid; GBP 65,000 - 110,000; Full time

Benefits offered by this job

Learning resources

Work-life balance

Job summary

Tesco is seeking a Data Scientist to develop and deploy neural network–based forecasting models for large-scale retail time series across multiple business areas. The role emphasizes rigorous evaluation, scalable deployment, and clear communication of methods and results to non-technical stakeholders.

You will build training and backtesting pipelines, validate modelling approaches, and work closely with engineering, product and business teams to deliver measurable business value while promoting

Qualifications

• Proficient in Python with hands-on experience in data science workflows.
• Strong background in time series forecasting and deep learning models.
• Experience working with big data tools and cloud environments.

Responsibilities

• Design and improve deep learning forecasting models for large-scale retail time series.
• Build training and backtesting pipelines with robust validation and leakage controls.
• Apply best practices for productionisation, monitoring and retraining strategies.
• Collaborate with engineering, product and business to ensure measurable value.

Skills

Python

Time series

Deep learning

Forecasting

Big data

Education

MSc/PhD in a relevant field

Tools

PySpark

Git

CI/CD

Job description

Tesco is seeking a Data Scientist to develop and deploy neural network–based forecasting models for large-scale retail time series across multiple business areas. The role emphasizes rigorous evaluation, scalable deployment, and clear communication of methods and results to non-technical stakeholders.

You will build training and backtesting pipelines, validate modelling approaches, and work closely with engineering, product and business teams to deliver measurable business value while promoting