Senior Data Scientist — AI & Marketing Analytics Leader

Haleon; Poznań; On-site; PLN 353,000 - 511,000; Full time

Benefits offered by this job

Professional development

Job summary

Haleon invites a senior data scientist to join our Global AI & Data Science team. You will help build data science models for Marketing, Commercial and Digital, collaborating with product owners, data engineers, and ML engineers to deliver high-quality, scalable solutions.

You will prepare data, define performance metrics, and support model deployment and lifecycle management, including retraining and optimization.

Qualifications

• MS or PhD in Data Science, CS, math, statistics or similar with modelling focus.
• Extensive experience building ML models and software pipelines.
• Strong knowledge of ML, statistics and time series forecasting.

Responsibilities

• Develop data science models for Marketing, Commercial and Digital.
• Collaborate with product owners, data engineers and ML engineers.
• Prepare datasets to train and validate models.
• Define metrics for model performance including CPU/memory and ML metrics.
• Support deployment, instrumentation, and versioning of models.
• Manage lifecycle including retraining and redeployment.
• Leverage third-party data to provide insights for trade promotions and digital shelving.
• Drive marketing automation and campaign optimization.
• Conceive statistical models and A/B tests to measure business impact.

Skills

Data science

Machine learning

Python

R

SQL

Time series

Statistics

Communication

Problem solving

Education

MS/PhD in Data Science or related

Tools

TensorFlow

PyTorch

scikit-learn

Databricks ML

Keras

Job description

Haleon invites a senior data scientist to join our Global AI & Data Science team. You will help build data science models for Marketing, Commercial and Digital, collaborating with product owners, data engineers, and ML engineers to deliver high-quality, scalable solutions.

You will prepare data, define performance metrics, and support model deployment and lifecycle management, including retraining and optimization.