Senior Time Series Data Scientist | Python & Azure ML

Capco Poland; Poland; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Capco Poland is seeking a data scientist to join a strategic forecasting and model development programme. You will design, develop and enhance predictive models across the full DS lifecycle, including deployment and monitoring.

The ideal candidate brings strong Python skills, time series forecasting experience, solid statistical knowledge, and hands‑on ML experience. Azure ML, Databricks, and R familiarity are highly desirable. This is a flexible B2B collaboration with diverse projects.

Qualifications

• Strong commercial experience as a Data Scientist or Machine Learning Engineer.
• Advanced proficiency in Python.
• Demonstrable experience developing Time Series Forecasting Models.
• Strong understanding of statistics, probability, and predictive modelling techniques.
• Experience with machine learning frameworks and model validation methodologies.
• Proven ability to work with large and complex datasets.
• Experience collaborating with cross‑functional business and technical teams.
• Strong communication and stakeholder management skills.

Responsibilities

• Develop, validate, and optimize advanced time series forecasting and predictive models.
• Utilize Python for data analysis, feature engineering, statistical modelling, and machine learning development.
• Build and deploy machine learning solutions using Azure Machine Learning and Databricks.
• Support and enhance existing forecasting models, including models developed in R.
• Implement and maintain MLOps processes to enable efficient model deployment, monitoring, and lifecycle management.
• Work closely with business stakeholders to understand requirements and translate them into scalable data science solutions.
• Develop and maintain robust analytical datasets and data models to support forecasting and reporting needs.
• Leverage Databricks for large-scale data processing and advanced analytics.
• Ensure data quality, integrity, and governance standards are maintained throughout the modelling lifecycle.
• Create clear documentation and communicate modelling outcomes and recommendations to technical and non‑technical audiences.
• Contribute to Agile delivery practices and continuous improvement initiatives.
• Stay current with emerging trends and best practices in data science, machine learning, cloud technologies, and analytics.

Skills

Python

Time Series Modelling

Statistics

Machine Learning

Data Analysis

Communication

Tools

Azure Machine Learning

Databricks

R programming

Job description

Capco Poland is seeking a data scientist to join a strategic forecasting and model development programme. You will design, develop and enhance predictive models across the full DS lifecycle, including deployment and monitoring.

The ideal candidate brings strong Python skills, time series forecasting experience, solid statistical knowledge, and hands‑on ML experience. Azure ML, Databricks, and R familiarity are highly desirable. This is a flexible B2B collaboration with diverse projects.