Junior Data Scientist

Capgemini; Vila Nova de Gaia; Hybrid; EUR 28,000 - 38,000; Full time

Benefits offered by this job

Health and Life insurance

Referral program with bonuses

Career Acceleration Programs

Job summary

Capgemini Portugal is seeking a Junior Data Scientist to join a growing tech hub in Porto. You will develop data features, build and validate ML models, and present actionable insights to stakeholders. Collaboration across teams and ongoing learning are core parts of the role.

The position offers a hybrid work model aligned with Capgemini’s policy, opportunities for mentorship, and exposure to fintech, fraud, and mobility domains within a global technology leader.

Qualifications

• Strong knowledge of Python, Pandas and machine learning libraries.
• Familiarity with statistical analysis and data-driven problem solving.
• Experience or familiarity with data visualization and communicating insights.

Responsibilities

• Explore, prepare, and engineer data features for analytics and AI use cases.
• Develop and validate statistical and machine learning models for business problems.
• Analyse experiments and A/B tests following established methodologies.
• Document models, analyses, and assumptions in line with governance standards.
• Present insights and recommendations to technical and business stakeholders.
• Continuously develop skills through mentoring, code reviews, and training.

Skills

Python

SQL

Data visualization

Analytical mindset

Communication

Collaboration

Problem solving

Tools

Spark

Databricks

Snowflake

Azure ML

NLP

Deep learning

Job description

Junior Data ScientistChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.You’ll have the opportunity to collaborate with a leading European mobility services provider, headquartered in Germany and backed by nearly 90 years of expertise. As part of this journey, you’ll contribute to the launch of a new Tech Hub in Porto, helping to drive innovative, technology-led solutions that are transforming how businesses move while contributing to a more sustainable future.YOUR ROLEExplore, prepare, and engineer data features for analytics and AI use cases.Develop and validate statistical and machine learning models for business problems such as pricing, churn, fraud, and credit risk.Analyse experiments and A/B tests following established methodologies.Document models, analyses, and assumptions in line with governance standards.Present insights and recommendations to technical and business stakeholders.Continuously develop skills through mentoring, code reviews, and training.Good knowledge of statistics, probability, hypothesis testing, and experimental design.Understanding of machine learning techniques, model evaluation, feature engineering, and model validation.Ability to translate business questions into analytical solutions.Awareness of Explainable AI and Responsible AI principles.Interest or experience in fintech, payments, fraud, credit risk, pricing, or mobility services (nice to have).YOUR PROFILEStrong knowledge of Python (Pandas, NumPy, Scikit-learn), SQL, and data visualisation tools.Familiarity with machine learning, statistical analysis, and data-driven problem solving.Experience with Spark, Databricks, Snowflake, Azure ML, causal inference, NLP, or deep learning (nice to have).Strong analytical mindset with the ability to translate data into actionable insights.Excellent communication and collaboration skills, with experience working across teams.Curious, proactive, and eager to learn within Data Science and AI environments.High attention to detail, ownership mentality, and commitment to delivering quality results.Adaptable and comfortable working in fast-paced, evolving environments.Personal, academic, or open-source Data Science projects (e.g., GitHub portfolio) (nice to have).WHAT WE´LL LOVE ABOUT WORKING HERE?At Capgemini Portugal we have a flexible and dynamic work environment. Flexibility enables a better work-life balance and gives more flexibility to the employee to manage the working hours, as well if he works at the office or remotely, according with the company’s hybrid work policy; We have local programs that promote people growth, reskill and new skills development (Career Acceleration Programs);We promote an empowering environment with autonomy and peers' relationships among the top scores of our Monthly Employees' feedback;Next to this, we also offer an attractive compensation package and benefits such as Health and Life insurance, as well as Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships in for; Capgemini Portugal is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, as well as employment offers and promotions made according with competence and ability or performance, respectively.ABOUT CAPGEMINICapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.Get the future you want | www.capgemini.comApply now!#LI-Hybrid