Data Scientist (She He They)
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Job Summary
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.
We are seeking an experienced Data Scientist with strong expertise in Python and Time Series Modelling to join a strategic forecasting and model development programme. The successful candidate will play a key role in designing developing and enhancing predictive models while working across the full data science lifecycle from data exploration through to deployment and model monitoring.
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 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 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
- Knowledge of Git/version control and Agile delivery working withGeospatial 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
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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Required Experience:
IC
About Company
Capco is a global management and technology consultancy dedicated to the financial services and energy industries.
