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 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 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 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 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. #LI-HYBRID

• Our Head of Data will lead and evolve our multidisciplinary Data organisation, ensuring Data is embedded into how Unobravo plans, prioritises and makes decisions. • You will lead a team of 12 talented professionals across Data Analytics, Data Engineering and Data Science, defining the vision, strategy and operating model for the function. • Reporting directly to the CFO, this role offers a unique opportunity to shape the future of Data at Unobravo, partnering closely with Product, Marketing, Operations and Leadership to turn data into one of the company's greatest strategic advantages. • Defining and executing Unobravo's Data strategy, aligning priorities with business goals. • Owning the strategic Data roadmap, balancing business needs, technical investment and long-term platform health. • Championing experimentation, measurement and evidence-based decision making. • Increasing visibility into the health, maturity and opportunities within our data ecosystem. • Continuing to evolve our Analytics, Machine Learning and AI capabilities, identifying opportunities to deliver measurable business impact.

• Transform raw customer data and feedback into actionable insights • Enable CX teams to access effective data for strategic decision-making • Drive data integrity and support business growth • Build and maintain data frameworks and compliance guardrails

• Own data sets end to end, from conception through delivery • Partner with product, research, and deployment teams to define goals for each data set • Manage projects on the company's data platform, including onboarding speakers and coordinating QA • Work closely with engineering on bug fixes, noise reduction, and automation • Hold the quality bar, prioritizing quality over speed and volume • Problem-solve with researchers and ML engineers on how data will perform in model training