Senior Data Scientist
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 7, 2026. Capgemini scores B on the Alion truth index.
Senior Data Scientist
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.
You’ll have the opportunity to collaborate with a leading European mobility services provider, headquartered in Germany and backed by nearly 90 years of expertise. As part of this journey, you’ll contribute to the launch of a new Tech Hub in Porto, helping to drive innovative, technology-led solutions that are transforming how businesses move while contributing to a more sustainable future.
YOUR ROLE
- Lead the end-to-end data science lifecycle, from problem definition and data preparation to model deployment, performance monitoring, and continuous improvement.
- Partner with Product Managers and business stakeholders to define success metrics, evaluate data sources, and translate business challenges into measurable analytical solutions.
- Develop, validate, and deploy statistical and machine learning models for use cases such as fraud, credit risk, pricing, churn, and mobility services, applying robust validation, experimentation, and A/B testing methodologies.
- Collaborate with Analytics Engineers, Data Engineers, and ML Engineers to define features, data-quality requirements, and scalable AI and analytics solutions.
- 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.
Exposure to NLP, deep learning, and evaluation frameworks for LLM-based solutions.
Knowledge of causal inference techniques and advanced experimentation methodologies.
Active involvement in open-source initiatives, technical communities, or data science knowledge-sharing activities.
- 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
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