[Hiring] Data Scientist @Keyrus Portugal

Role Description

As a Data Scientist, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making. This role is both technical and consultative, perfect for someone who can combine hands-on data science, advanced analytics, machine learning, and stakeholder collaboration to deliver impactful business solutions. We’re looking for professionals who think like architects and act like builders.

• Collect, process, and analyse structured and unstructured datasets using Python, SQL, and modern data science techniques to generate actionable business insights.
• Develop, validate, and deploy machine learning models and statistical models to support forecasting, customer analytics, and predictive business use cases.
• Perform feature engineering, data preparation, and model optimisation to improve model accuracy and business impact.
• Design and maintain analytical workflows and data pipelines, collaborating with Data Engineering teams when required.
• Identify trends, patterns, risks, and opportunities through the analysis of complex datasets.
• Translate analytical findings into actionable recommendations and present results to both technical and non-technical stakeholders.
• Collaborate with clients, business stakeholders, and cross-functional teams to understand requirements and deliver data-driven solutions.
• Support the development of data science best practices, modelling methodologies, and reusable analytical frameworks.
• Apply predictive analytics, customer analytics, and advanced statistical techniques to solve real-world business challenges.
• Contribute to the successful delivery of client-facing analytics projects from discovery through implementation.

Qualifications

• Relevant academic background in Data Science, Applied Mathematics, Statistics, Computer Science, Engineering, or equivalent professional experience.
• 4+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related data-focused roles.
• Experience delivering analytical solutions from data exploration through to model deployment and business adoption.
• Ability to work effectively in multidisciplinary environments.
• Professional proficiency in English.

Requirements

• Strong hands-on experience with Python and SQL.
• Experience developing and deploying Machine Learning and Statistical Models.
• Solid knowledge of Data Analysis, Data Modelling, and Feature Engineering.
• Experience working with large datasets and extracting actionable business insights.
• Strong understanding of Predictive Analytics, Customer Analytics, and business-driven data science use cases.
• Experience communicating analytical findings to technical and non-technical stakeholders.
• Strong analytical thinking, problem-solving, and critical reasoning skills.
• Familiarity with the full machine learning lifecycle, including data preparation, model training, validation, and deployment.

Benefits

• Competitive salary aligned with your experience and the data market.
• Meal allowance: €10.20/day.
• Flexible benefits plan.
• Private medical insurance.
• 22 days of annual leave, increasing every 3 years (up to 25 days).
• Continuous learning via KLX – Keyrus Learning Experience.
• A collaborative, international, and human-centred work environment.