At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
YOUR ROLE
- Collect, organize, analyze, and interpret large datasets for decision-making;
- Clean and preprocess raw data to ensure data quality and integrity;
- Conducting rigorous exploratory data analysis to discern trends and patterns, facilitating valuable insights;
- Create clear and insightful data visualizations;
- Engaging in collaborative efforts with team members to comprehend project requirements and actively contributing to solution development.
- Contribute to team projects and implement data-driven strategies for business growth;
- Communicating findings and insights to both technical and non-technical stakeholders.
- Manage and prioritize tasks effectively within project timelines.
- Portuguese (Native) and English (Advanced);
- Solid academic foundation in a relevant discipline, such as Mathematics, Data, or Computer Sciences.
- Possesses a analytical mindset and meticulous attention to detail;
- Skilled in problem-solving and critical thinking;
- Collaborative team player with excellent communication skills;
- Understand business requirements, develop analytical solutions, and communicate findings effectively.
- Display a proactive approach to learning and applying emerging technologies and methodologies in data analytics.
Must have skills;
- Proficiency in programming languages, particularly - Python (Pandas), SQL, and distributed/big data processing frameworks such as Pyspark.
- Knowledge in data visualization and reporting tools; QilkSense, Matplotlib, Seaborn;
- Familiarity with notebooks (such as Jupyter) and collaboration platforms; GitHub, GitLab;
Nice to have skills:
- Demonstrate familiarity with machine learning concepts and statistical analysis;
- Experience with AWS Sagemaker/EMR;
- Knowledge on the Telecom Industry.
Choosing 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.
Apply now!