CAPCO POLAND
*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.
- 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.
What We're Looking For
- 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.
Bonus Points For
- 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
- 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
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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Skills Required
- 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 implementing and maintaining MLOps processes for deployment and monitoring
- Ability to translate business requirements into scalable data science solutions and strong stakeholder communication
- Experience with Azure Machine Learning
- Experience with Databricks and distributed data processing
- Experience with R programming (RStudio, tidyverse, caret, randomForest, xgboost, ggplot2, Shiny)
- Experience with CI/CD pipelines
- Experience developing and supporting data pipelines
- Knowledge of Git / version control
- Experience working with geospatial data and spatial analytics
What the Team is Saying
Capco Compensation & Benefits Highlights
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Wellbeing & Lifestyle Benefits — Wellbeing is emphasized as part of culture with flexible/hybrid work, mental-health resources, coaching, and a global Wellbeing@Capco group. Flexible arrangements and regional wellbeing programs are positioned to support work–life integration.
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Parental & Family Support — Enhanced maternity, adoption, and shared-parental leave are highlighted alongside paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Return-to-work supports and family-friendly flexibility are explicitly called out.
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Healthcare Strength — Core benefits include medical, dental, and vision coverage, with disability and life insurance noted in some markets. Health coverage is consistently presented as a solid part of the package.
Capco Insights
What We Do
Capco, a Wipro company, is a global management and technology consultancy specializing in driving transformation in the energy and financial services industries. Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting edge ingenuity is brought to life through its award-winning Be Yourself At Work culture and diverse talent. TRUSTED ADVISORS - Our collaborative and entrepreneurial approach position us as trusted long-term partners to our clients. DEEP EXPERTISE - Clients look to us for clear guidance, proven expertise, and the support they need to set their companies up for success. DISRUPTIVE SOLUTIONS- We do not provide off -the-shelf answers to clients’ challenges. Instead, we work in close collaboration to understand the issues, and craft disruptive, bespoke solutions. ACCOUNTABILITY AND OWNERSHIP - We recognize every client has distinct needs and expectations, and we take ownership and accountability for the solutions we design, build, and deliver.
Why Work With Us
We support and encourage an inclusive culture, entrepreneurial outlook and independent thinking. Capco is not about organizational charts and rigid hierarchies – we want all employees to feel that Capco is their firm to own and run. We believe diversity powers innovation. Be Yourself At Work (#BYAW) is an integral and underlying part of our culture
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Capco Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
