Senior Data Scientist — Customer Analytics & Forecasting

Allscreens Nationwide Ltd; None; Ibrido; EUR 105.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual bonus up to 20%

Private medical insurance

25 days holiday + personal day

Descrizione del lavoro

Tesco Mobile is seeking a Senior Data Scientist to shape smarter, more personalised experiences for customers. You will own end-to-end data science solutions, including propensity modelling, forecasting, and deployment in cloud environments.

The role requires strong Python/SQL/PySpark skills, experience with static and time-series modelling, and the ability to translate data into business impact. Hybrid work with 2 days in the office is supported.

Competenze

• PhD or Masters in a quantitative field.
• Strong grounding in applied statistics and hypothesis testing.
• Proven experience with both static and time series modelling.
• Advanced coding skills in Python, SQL and PySpark; clean, testable code.
• Experience deploying models in cloud environments (Azure) with CI/CD.

Mansioni

• Own end-to-end delivery of data science solutions from problem framing to deployment.
• Build and productionise propensity and forecasting models for customer insights and business impact.
• Design hypothesis-driven analyses and translate results into actionable recommendations.
• Collaborate with stakeholders to define success metrics and monitor model performance.
• Mentor teammates and contribute to best practices in data science.

Conoscenze

Python

SQL

PySpark

Statistics

Experiment design

Communication

Formazione

PhD or Masters

Strumenti

MLflow

Databricks

CI/CD

Azure

Monitoring

Graph databases

Descrizione del lavoro

Tesco Mobile is seeking a Senior Data Scientist to shape smarter, more personalised experiences for customers. You will own end-to-end data science solutions, including propensity modelling, forecasting, and deployment in cloud environments.

The role requires strong Python/SQL/PySpark skills, experience with static and time-series modelling, and the ability to translate data into business impact. Hybrid work with 2 days in the office is supported.