Fyld is hiring: Data Scientist
At Fyld, we believe the future is built with people, technology, and strong values.
We are a Portuguese consulting company that operates with transparency, respect, and a focus on everyone’s growth.
Here, every project is an opportunity to build real, lasting, and scalable solutions.
Our philosophy? Code for Big Solutions — because we don’t just code to make things work, we code to transform.
We’re looking for an experienced Data Scientist with technical rigor and a strong desire to make an impact.
By joining Fyld, you’ll be part of a team where every member is challenged to innovate, collaborate, and grow.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Artificial Intelligence or related fields
- Strong knowledge of statistics, probability and Machine Learning algorithms
- Proficiency in Python and SQL for data analysis and model development
- Experience with libraries such as Pandas, NumPy, scikit-learn, TensorFlow or PyTorch
- Experience with data preparation, feature engineering and exploratory data analysis (EDA)
- Experience building, validating and optimizing predictive models for regression, classification, clustering and time series analysis
- Knowledge of experiment design and A/B testing is valued
- Experience communicating insights through data visualisation tools such as Power BI, Plotly or Tableau
- Familiarity with cloud platforms (Azure, AWS or GCP) is a plus
- Ability to translate business problems into data-driven solutions
- Experience collaborating with cross-functional teams
- Fluency in English
Critical thinking and autonomy
Focus on meaningful solutions and real results
Respect, transparency, and continuous growth
A collaborative team that values individual progress
Access to continuous training and certifications
A culture of proximity, respect, and recognition
Challenging, purpose-driven projects where your talent as a Data Scientist has real impact
High standards, professionalism, and dedication — everything else can be learned
📩 Want to be part of it? Send your CV to [email protected]
Fyld. Code for what really matters.
Skills Required
- Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, Data Science, or equivalent
- Strong foundation in statistical concepts, machine learning algorithms, and data mining techniques
- Proficiency in programming languages such as Python or R for data manipulation, analysis, and modeling
- Experience with libraries and frameworks like NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch
- Ability to clean, preprocess, and wrangle large datasets from various sources
- Experience with exploratory data analysis (EDA) techniques to gain insights and identify patterns in data
- Proficiency in building and evaluating predictive models using machine learning algorithms
- Experience with regression, classification, clustering, and time series analysis
- Skills in creating meaningful visualizations and dashboards to communicate insights effectively
- Familiarity with tools like Matplotlib, Seaborn, Plotly, or Tableau
- Understanding of the business domain and the ability to translate business problems into data-driven solutions
- Excellent communication skills to present findings and recommendations to technical and non-technical stakeholders
- Ability to collaborate with cross-functional teams including data engineers, software developers, and business analysts
- Eagerness to stay updated with the latest advancements in data science and machine learning
- Fluent in English
What We Do
Fyld is a Portuguese IT consultancy with outsourcing services. With a unique recruitment strategy, we provide high-performance players in Software Development, Mobile, Business Intelligence, Business Analysis, Project Management and Strategy Consulting. Inspired by a sports management philosophy, we invest in the continuous assessment and improvement of our team. Our goal? Help our clients gain competitive advantage, streamline projects and reduce costs. Fyld, we bring the best to play









