Data Scientist (She/ He/ They)

At Capco Poland, a global leader in technology and management consulting specializing in digital transformation in the financial sector, including banking, payments, capital markets, wealth, and asset management.

• 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.

Nice to have:

• Experience with Azure Machine Learning.
• Experience with Databricks and distributed data processing.
• Exposure to MLOps, CI/CD pipelines, and model monitoring.
• Experience with R programming, including RStudio, tidyverse (dplyr, tidyr), caret, randomForest, xgboost, ggplot2, Shiny.
• Experience developing and supporting data pipelines.
• Knowledge of Git/version control and Agile methodologies.
• Experience with Geospatial Data and spatial analytics.

• 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 those developed in R.
• Implement and maintain MLOps processes for model deployment, monitoring, and lifecycle management.
• Collaborate with business stakeholders to translate requirements into scalable data science solutions.
• Develop and maintain analytical datasets and data models to support forecasting and reporting.
• Leverage Databricks for large-scale data processing and advanced analytics.
• Ensure data quality, integrity, and governance throughout the modelling lifecycle.
• Create documentation and communicate modelling outcomes to technical and non-technical audiences.
• Contribute to Agile delivery practices and continuous improvement.
• Stay current with trends in data science, machine learning, cloud technologies, and analytics.

We are looking for Poland based candidate.

We advise verifying recruitment communications as official Capco communication will only be via a Capco recruiter.