Data Analyst

Data Analyst & Backend Developer with AI

The Digital Business Team develops promising digital solutions for global products and processes. It aims to organize Applus+ Laboratories
' information, making it useful, fast, and reliable for both the Applus+ Group and its clients. The team’s mission is to be recognized as the most digital, innovative, and customer-oriented company, reducing digital operations costs while increasing the value and portfolio of services.

We are looking for a Data Science / AI Engineer to join our Digital team and contribute to the development of evolving data products and applications.

• Collect, organize, and analyze structured and unstructured data to extract actionable insights, generate code, train models, validate results, and draw meaningful conclusions.
• Demonstrate advanced proficiency in Power BI, including data modeling, DAX, the creation of interactive dashboards, and connecting to diverse data sources.
• Possess a strong mathematical and statistical foundation, with experience in numerical methods and a wide range of machine learning algorithms.
• Exhibit hands‑on experience in Natural Language Processing (NLP) and foundation models, with a thorough understanding of transformers, tokenization, and encoding‑decoding processes.
• Apply Explainable AI (XAI) techniques using Python libraries such as SHAP, LIME, or similar tools.
• Develop and integrate AI models into backend systems utilizing frameworks such as FastAPI, Flask, or Django.
• Demonstrate logical and organized thinking with attention to detail, capable of identifying data or code anomalies and effectively communicating findings through clear documentation and well‑commented code.
• Maintain a proactive mindset for optimizing analytical workflows and continuously improving models and tools.
• Exhibit creativity and innovation in problem‑solving, with a practical and results‑oriented approach.

• Demonstrated experience coding in python specifically working in data science projects and using ML most common libraries.
• Previous experiences working with Generative AI and explainable AI are welcome.
• Expertise in Power BI: data modeling, DAX, dashboards, integration with multiple sources.
• Proficient in SQL for querying, transforming, optimizing databases.
• Experienced in Python for data analysis, automation, machine learning.
• Knowledgeable in data analytics, KPIs, business intelligence practices.
• Skilled in translating business requirements into insights and visualizations.

• Power BI (DAX)
• SQL
• Python
• Commonly used ML/AI libraries.
• Azure AI (Open AI)

• Degree in Computer Science, Software Engineering, Applied Mathematics, or a related field.
• A master’s degree in data science or AI Engineering is an advantage.

• English

If you are passionate about analytics, advanced AI algorithms, and challenging yourself, this is the right job for you!