Senior Data Scientist
Diversified multinational group with retail, technology and investment businesses across Portugal. A newly created data unit is consolidating data from multiple business areas—retail, financial services, telecom, and digital platforms—to build data-driven products and services, initially for internal businesses and later for the broader market.
What you will do
- Analyze and interpret large, complex datasets to generate actionable business insights.
- Build, deploy, and monitor machine learning models that support strategic initiatives.
- Collaborate with data engineers to ensure reliable, accessible, and well-structured data for model development.
- Translate business needs into analytical questions and communicate results clearly to stakeholders.
- Design and implement feature engineering strategies to enhance model effectiveness.
- Develop and maintain pipelines for model training and evaluation.
- Promote best practices in MLOps, ensuring scalability and performance in production.
Location and work model
- Hybrid (2 days/week in the office, Porto / Braga)
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Senior-level experience in Data Science or Machine Learning, preferably within the retail sector;
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Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related technical field;
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Proven experience designing, validating, deploying, and monitoring Machine Learning models end to end;
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Strong knowledge of feature engineering, model selection, tuning, evaluation, and lifecycle management;
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Advanced proficiency in Python and SQL;
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Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform;
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Strong ability to translate retail and business challenges into practical, data-driven solutions;
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Ability to manage complex and ambiguous problems with a high level of autonomy and ownership;
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Strong communication skills and confidence presenting technical findings to non-technical stakeholders;
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Analytical thinking, curiosity, creativity, and a continuous learning mindset.
Nice to have
- MLOps
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Feature Engineering
- Statistics
- Experience in the retail sector
What we offer:
- A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
- A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
- An empowering and respectful work culture enriched with social and learning events.
- A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.
What You Can Expect as a KWANer
Respect isn’t optional here
Dedicated People Experience Partner
Someone accountable for your growth, not your allocation.
Continuous learning, built in
Recognition that’s visible
A culture you can feel
Flexible spaces to work your way
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