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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Join our team as a Data Scientist and be responsible for improving demand planning accuracy through advanced analytics, statistical modeling, and machine learning. By leveraging reliable data, optimizing forecasting approaches, and working closely with Demand Planners, this role ensures insights that guide both operational decisions and long‑term strategic plans.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Join our team as a Data Scientist and be responsible for improving demand planning accuracy through advanced analytics, statistical modeling, and machine learning. By leveraging reliable data, optimizing forecasting approaches, and working closely with Demand Planners, this role ensures insights that guide both operational decisions and long‑term strategic plans.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
,[Create and maintain models that capture long‑range demand trends, seasonality, and macroeconomic influences. Provide scenario modeling to evaluate future uncertainties., Ensure high‑quality, reliable forecasting data by applying sound data governance. Monitor, clean, and validate datasets to avoid inaccuracies., Assess the relevance and statistical significance of internal and external demand drivers to eliminate noise and improve model precision., Build and refine analytical models that incorporate macroeconomic trends, competitive dynamics, pricing, and promotional factors. Develop new ways to measure their impact on demand., Identify and source valuable external datasets—such as market reports, consumer insights, and industry intelligence - to improve forecast robustness., Use modern machine learning, time‑series forecasting, demand sensing, and AI‑based methods to elevate forecasting performance. Continuously test and adopt new analytical approaches., Serve as an analytical partner in day‑to‑day operations, providing insights, resolving forecast anomalies, and supporting S&OP decisions with ad‑hoc analyses., Work with Continuous Improvement Team and others to coordinate root‑cause analyses and ensure corrective actions are implemented., Own root‑cause identification for demand losses and drive actions to prevent reoccurrence., Monitor and manage key KPIs (SFA, SFB). Requirements: Forecasting Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.