Who we are

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at .

Role Overview

We are looking for a Data Scientist to integrate our teams and support the delivery of advanced analytics initiatives. In this role, you will transform complex data into rigorous, explainable, and actionable insights, helping stakeholders make informed decisions through statistical analysis, predictive modelling, and machine learning techniques.

You will work closely with business and technical teams to uncover patterns, validate hypotheses, and develop robust analytical solutions that generate measurable value.

What you will do

• Explore, clean, structure, and validate large and complex datasets, ensuring data quality, consistency, and reliability;
• Formulate analytical hypotheses and conduct statistically robust tests to validate assumptions and support decision-making;
• Develop, evaluate, and interpret statistical, predictive, segmentation, and machine learning models;
• Identify trends, patterns, anomalies, outliers, and business opportunities through advanced data analysis;
• Translate quantitative findings into clear, business-oriented recommendations and communicate insights effectively to both technical and non-technical stakeholders.

What you are like

• Proficient in applied statistics, probability theory, predictive analytics, and data-driven problem solving;
• Experienced in Python and SQL , with strong knowledge of libraries such a s pandas, NumPy, scikit-learn, and statsmodels;
• Skilled in data exploration, data preparation, quality assessment, and validation techniques;
• Proficient in developing, validating, and interpreting statistical and machine learning models, with a strong focus on explainability and robustness;
• Comfortable using data visualisation and Business Intelligence tools, ideally Power BI, to communicate insights effectively.

Why join us

• Work on challenging projects for big clients;
• Learn more about emerging technologies;
• Possibility of working remotely;
• Design your career plan;
• Access to continuous training and certifications;
• Evolve through our internal mobility program;
• … and much more!