Junior Data Scientist/Engineer
Description
Acceleration is WPP’s data and technology consultancy, operated globally by leading media company GroupM. We work closely with GroupM agencies (EssenceMediacom, Mindhsare and Wavemaker) and Google center of excellence to connect our clients' media investments to tangible business results, powering possibilities and performance through data and technology.
We make data and technology work better for people and business!
Click to discover more about Acceleration and GroupM.
We are seeking a highly motivated and adaptable Junior Data Scientist/Engineer to join our small, dynamic team in Lisbon, Portugal. This entry-level role offers a unique opportunity to gain broad experience across various data-focused disciplines, including machine learning, data engineering, and business intelligence.
The ideal candidate will have a strong foundation in programming, a passion for data analysis, and a willingness to learn and contribute across different areas.
This position provides excellent growth potential within a supportive team environment.
Responsibilities:
- Machine Learning: Develop, implement, and deploy machine learning models. Perform data cleaning, preprocessing, and feature engineering. Train and evaluate models;
- Data Engineering: Support the building and maintenance of data pipelines. Assist in data processing and transformation. Work with databases under the guidance of senior team members;
- Business Intelligence: Contribute to the development of reports and dashboards. Assist in data analysis and identification of trends;
- Collaborate with other team members on projects across these disciplines;
- Actively learn and develop skills in ML/AI, data engineering, and BI;
- Contribute to the overall improvement of our data capabilities.
Required Skills and Experience:
- 1+ year of experience in a data-related role or demonstrable project experience (including internships or academic projects);
- Strong programming skills in Python;
- Experience with data warehousing concepts;
- Experience with data visualization tools;
- Knowledge of cloud computing platforms (AWS, Azure, GCP);
- Basic understanding of data visualization principles;
- Basic understanding of SQL and relational databases;
- Familiarity with machine learning concepts and algorithms;
- Familiarity with data manipulation and cleaning techniques;
- Excellent problem-solving and analytical skills;
- Good communication and teamwork skills. A strong desire to learn and adapt is essential.
- Fluent Portuguese language skills.