Data Scientist

Keyrus

. Collect, process, and analyse structured and unstructured datasets using Python, SQL, and modern data science techniques .

Posted 9/30/2026full-timeRemote • Portugal, SpainMid-LevelSenior💰 €40,000 - €46,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Science and Machine Learning, with a strong focus on Python and SQL for data analysis, model development, and deployment. Capable of translating complex analytical findings into actionable business insights for diverse stakeholders.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyMachine Learning Model DevelopmentData Analysis and ModellingPredictive Analytics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceMachine LearningStatistical ModellingFeature EngineeringData PreparationModel OptimisationData Pipeline DesignAnalytical Workflow MaintenanceData ExplorationBusiness Insights Extraction

Soft Skills

Analytical ThinkingProblem-SolvingCritical ReasoningCollaborationCommunication

Industry Keywords

Data Science TechniquesCustomer AnalyticsAdvanced AnalyticsMultidisciplinary EnvironmentsClient-Facing Analytics Projects

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 model deployment and business adoption
Ability to work effectively in multidisciplinary environments
Professional proficiency in English
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

Comp & perks

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
Collaborative, international, and human-centred work environment