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Data Science Analyst

  • On-site
    • Porto, Porto, Portugal
  • Data & Analytics

Job description

Metyis is growing! We are looking for a Data Science Analyst to join our Data and Analytics team in Porto. The ideal candidate should have 1+ year of professional experience in data science.

Job requirements

Who we are

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

  • A chance to grow your analytics skills in a supportive, international environment.

  • Direct exposure to real-world business challenges and data-driven strategy.

  • Mentorship from experienced data scientists and analysts.

  • Opportunities to evolve toward more advanced data science roles.

  • Dynamic and diverse team within one of the leading global fashion brands.

  • Become part of a fast-growing international and diverse team.

What you will do

  • Analyze structured and unstructured datasets to identify trends, patterns, and insights that inform strategic decision-making.

  • Support the development, implementation, and maintenance of predictive models and machine learning solutions under guidance of senior team members.

  • Build clear and effective data visualizations and dashboards for technical and non-technical audiences.

  • Support model validation, performance evaluation, and iterative improvement, including basic hyperparameter tuning.

  • Collaborate with consultants, data scientists, data engineers, data visualizers, and client stakeholders to translate business questions into analytical approaches.

  • Contribute to client deliverables, presentations, and workshops by translating analysis into clear recommendations.

  • Stay up to date with developments in data science, machine learning, and analytics, including emerging GenAI applications in a business context.

What you’ll bring

  • 1-3 years of experience in data science, analytics, or a related role, including internships or project-based work.

  • degree in a quantitative field such as computer science, mathematics, statistics, engineering, or similar.

  • Programming experience in Python (or R) and related data analysis libraries such as Pandas and NumPy.

  • Knowledge of core analytical and machine learning techniques, including regression, classification, clustering, time-series analysis, and dimensionality reduction.

  • Familiarity with common machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.

  • Working knowledge of SQL and relational databases.

  • Ability to communicate clearly and work effectively in multidisciplinary, client-facing teams.

  • Professional working proficiency in English 

Nice to have: 

  • Exposure to cloud platforms, particularly Microsoft Azure.

  • Basic experience with GitHub and version control workflows.

  • Initial exposure to deploying models into production or working in data pipelines.

  • Interest in advanced topics such as deep learning, natural language processing, reinforcement learning, or GenAI applications.

  • Experience or interest in sector-specific analytics (e.g. fashion, retail, marketing, risk, or operations) 


At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

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