Data Scientist

Capco Poland; Deutschland; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

B2B contract

Flexible collaboration model

Zusammenfassung

Capco Poland is seeking an experienced Data Scientist with strong Python and time series modelling expertise to contribute to forecasting and model development initiatives. The role involves building, validating, and deploying ML models within a strategic data science programme, leveraging Azure ML and Databricks, and collaborating with business and technical stakeholders.

You will work on developing and maintaining forecasting models, supporting MLOps practices, and delivering scalable data

Qualifikationen

• Strong commercial experience as Data Scientist or Machine Learning Engineer.
• Advanced proficiency in Python.
• Solid understanding of statistics, probability, and predictive modelling.
• Experience with ML 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.

Aufgaben

• Develop, validate, and optimize time series forecasting and predictive models.
• Utilize Python for data analysis, feature engineering, statistical modelling, and ML development.
• Build and deploy ML solutions using Azure Machine Learning and Databricks.
• Support forecasting models, including R-based models.
• Implement and maintain MLOps for deployment, monitoring, and lifecycle management.
• Work with business stakeholders to translate requirements into scalable data science solutions.
• Develop and maintain analytical datasets and data models for forecasting and reporting.
• Leverage Databricks for large-scale data processing and analytics.
• Ensure data quality, integrity, and governance throughout modelling lifecycle.
• Create documentation and communicate outcomes to technical and non-technical audiences.
• Contribute to Agile delivery and continuous improvement.
• Stay current with trends in data science, ML, cloud tech and analytics.

Kenntnisse

Python

Time series modelling

Azure Machine Learning

Databricks

R programming

Machine learning

Statistics

Tools

Databricks

RStudio

Git

Jobbeschreibung

*We are looking for Poland based candidate.

At Capco Poland, we're not just another consultancy - we're 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.

We are seeking an experienced Data Scientist with strong expertise in Python and Time Series Modelling to provide data science services within a strategic forecasting and model development programme.

The ideal candidate will bring strong analytical and statistical capabilities, hands-on machine learning experience, and the ability to collaborate effectively with both business and technical stakeholders. Experience with Azure Machine Learning, Databricks, and R programming is highly desirable.

What You'll 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 We're Looking For

Strong commercial experience as a Data Scientist or Machine Learning Engineer.

Advanced proficiency inPython.

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:

• RStudio,tidyverse (dplyr, tidyr),caret,randomForest,xgboost,ggplot2,Shiny

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:

• HR interview with the recruiter
• Technical interview with Capco Engineering team
• Client interview
• Feedback and offer

#LI-HYBRID