Deliver production-ready models, including monitoring, retraining criteria, drift analysis, and evaluation frameworks for LLM-based solutions.
Apply best practices in model validation, explainability, bias assessment, Responsible AI, governance, and regulatory compliance.
Communicate methods, assumptions, uncertainty, trade-offs, and recommendations clearly to technical and non-technical stakeholders.
Contribute to data science standards, reusable frameworks, code reviews, and mentoring initiatives.
Strong knowledge of statistics, probability, experimental design, power analysis, model validation, and machine learning.
Experience working in cross-functional environments with strong stakeholder engagement.
Experience with causal inference, fintech, payments, fraud, credit risk, pricing, mobility services, model risk management, or AI regulatory frameworks (nice to have).
YOUR PROFILE
Strong expertise in advanced machine learning and statistical modelling techniques, including gradient boosting, classical ML, and time-series forecasting.
Proficiency in Python and SQL for data analysis, modelling, and production-grade solutions.
Hands-on experience with Spark and other distributed data processing frameworks in large-scale environments.
Solid understanding of Git-based development practices, version control, and reproducible ML workflows.
Proven track record of deploying, monitoring, and maintaining machine learning models in production alongside engineering teams.
Strong knowledge of model evaluation, performance monitoring, drift detection, error analysis, and retraining strategies.
Familiarity with Databricks, Snowflake, and Azure Machine Learning (nice to have).
Exposure to NLP, deep learning, and evaluation frameworks for LLM-based solutions (nice to have).
Knowledge of causal inference techniques and advanced experimentation methodologies (nice to have).
Active involvement in open-source initiatives, technical communities, or data science knowledge-sharing activities (nice to have).
Experimental design, A/B testing, control groups, power analysis and quasi-experimental methods.
WHAT WE´LL LOVE ABOUT WORKING HERE?
At Capgemini Portugal we have a flexible and dynamic work environment.
Flexibility enables a better work-life balance and gives more flexibility to the employee to manage the working hours, as well if he works at the office or remotely, according with the company’s hybrid work policy;
We have local programs that promote people growth, reskill and new skills development (Career Acceleration Programs);We promote an empowering environment with autonomy and peers' relationships among the top scores of our Monthly Employees' feedback;
Next to this, we also offer an attractive compensation package and benefits such as Health and Life insurance, as well as Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships in for;
Capgemini Portugal is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, as well as employment offers and promotions made according with competence and ability or performance, respectively.
ABOUT CAPGEMINI
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Get the future you want | www.capgemini.com
Apply now!
#LI-Hybrid
Ref. code
573841
Posted on
Nov 5, 2026
Experience Level
Experienced Professionals
Contract Type
Permanent
Location
Vila Nova de Gaia, PT
Brand
Capgemini
Professional Community
Data & AI
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