Data Scientist

CAPCO POLAND

*We are looking for Poland based candidate.

At Capco Poland were not just another consultancy - were the spark behind digital transformation in the financial world. As a global leader in technology and management consulting we thrive on helping clients tackle the toughest challenges across banking payments capital markets wealth and asset management.

What Youll Deliver

• Develop validate and optimize advanced time series forecasting and predictive models.
• UtilizePython for data analysis feature engineering statistical modelling and machine learning development.
• Build and deploy machine learning solutions usingAzure Machine Learning and Databricks.
• Support and enhance existing forecasting models including models developed inR.
• 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.

What Were Looking For

• Strong commercial experience as a Data Scientist or Machine Learning Engineer.
• Advanced proficiency inPython.
• Demonstrable experience developingTime 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.

Bonus Points For

• Experience with Azure Machine Learning.
• Experience withDatabricks and distributed data processing.
• Exposure toMLOps CI/CD pipelines and model monitoring.
• Experience withR programming including:

  • RStudiotidyverse (dplyr tidyr)caretrandomForestxgboostggplot2Shiny

  Experience developing and supporting data pipelines.
• Knowledge of Git/version control and Agile delivery methodologies.
• Experience working with Geospatial Data and spatial analytics.

We offer a flexible collaboration model based on a B2B contract with the opportunity to work on diverse projects.

RECRUITMENT PROCESS:

1. HR interview with the recruiter
2. Technical interview with Capco Engineering team
3. Client interview
4. Feedback and offer

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

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