Data Scientist

• Design and development of data models based on SAP Datasphere
• Creation of analytical dashboards and reports with defined KPIs in SAP Analytics Cloud, and identification of optimization opportunities
• Implementation, documentation, and rollout of the developed data models
• Management of data-driven projects and initiatives as a project or program manager
• Establishment and deployment of a process mining tool for root-cause analyses

Data Scientist, Reporting

• Build and operate scalable data pipelines to integrate marketing, CRM, and business data based on Snowflake;
• Develop and improve a group-wide data model for analyzing marketing and sales performance across the full customer journey;
• Integrate systems such as Salesforce, Funnel.io, campaign management platforms, and future CRM systems from different countries;
• Ensure high data quality through standards, data quality checks, and monitoring processes;
• Create technical standards, templates, and reference implementations for connecting to additional countries and scaling the data product internationally;
• Provide technical consulting, coaching, and enablement to country organizations for connecting CRM, marketing, and sales data and building local data products under the data mesh approach;
• Work closely with the Product Owner, business departments, and BI Platform Team on a strategically important group-wide data product.

Project Manager – Marketing & Sales Data

• Own and oversee cross-workstream alignment, dependencies, and critical path across the full programme lifecycle.
• Define, own, and continuously evolve programme-level artefacts, governance, and reporting to support decision-making and assurance.
• Provide clear, insight-led executive reporting to senior client and Valtech leadership, highlighting risks, opportunities, and recommendations.
• Own programme assurance, including regular health assessments and proactive intervention.
• Shape and mobilise new initiatives and opportunities within the engagement.
• Identify and drive improvements to delivery models, team structures, and ways of working.
• Act as an escalation point for complex delivery, commercial, or stakeholder challenges.
• Ensure delivery outcomes align with strategic client goals and long-term account objectives.

Data Program Manager

• Design, build, and optimize Machine Learning models powering origination, behavioral scoring, limit management, and early-warning systems
• Leverage alternative data sources including transaction behavior, merchant data, and device intelligence to improve predictive performance
• Evaluate and implement the infrastructure required to deploy, monitor, and retrain models at scale
• Explore the applications of novel architectures (transformers, foundational models, etc.) for credit risk and related tasks
• Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions
• Work with other members of the Credit Risk team to build credit policies across the full customer lifecycle: origination, limit management, restructuring, and write-offs
• A lot of autonomy and ownership: you will own at least one Machine Learning model end-to-end
• Communicate findings and insights to technical and non-technical stakeholders

• Build, deploy, and iterate on customer churn prediction models
• Identify leading indicators, segment at-risk cohorts, and work with Customer Success on retention playbooks
• Develop propensity models and next-best-action recommendations to help commercial teams prioritise accounts and product conversations
• Design attribution frameworks across marketing channels, sales motions, and product touchpoints
• Build the data products that let leadership see what's actually driving revenue
• Design and analyse A/B tests and quasi-experiments for commercial initiatives
• Take models from notebook to production
• Translate ambiguous commercial questions into well-scoped analytical problems
• Communicate findings clearly to non-technical audiences

Senior Data Scientist

• Support exploratory data analysis across product, marketing, and financial datasets.
• Help collect, clean, and prepare data for modelling and reporting.
• Assist in designing and running experiments to evaluate product features or communications.
• Contribute to machine learning prototypes and decision-support tools.
• Communicate findings clearly through visualisations, notebooks, and written summaries.
• Explore how generative AI tools (Claude, Agents, MCPs) can accelerate data science workflows.

Data Scientist jobs in Portugal

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Data Scientist, Reporting

Project Manager – Marketing & Sales Data

Data Program Manager

Data Scientist

Senior Data Scientist

Data Science Intern