Data Scientist (f/m/div.)

Company Description

The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential. 

Job Description

As a Data Scientist, you will be responsible for applying AI and machine learning techniques to create solutions that bring impact to the organization. In this role, you will be developing and deploying AI solutions, ensuring their performance and reliability through ongoing monitoring, and promoting data-driven decision-making within the organization.

Your contribution to something big: 

• AI solution ideation and development
  • Identifying business problems and solving them by finding data and methods, resulting in measurable business improvements (KPI tracking);
  • Utilizing mathematical, econometric, statistical and deep learning models to develop predictive models for solving business relevant problems;
  • Developing, deploying, and monitoring GenAI-based applications, including experience with Agentic Frameworks (e.g., LangGraph, LlamaIndex, CrewAI, or similar) and including the implementation of MLOps/LLMOps best practices.
• Communication and enabling
  • Effectively communicating with various departments and roles about data-driven business decisions;
  • Acting as a facilitator for the introduction and adoption of new AI and ML-based technologies;
  • Supporting communication and awareness initiatives for different stakeholders at Electrified Motion (EM) divisional level to foster digital enablement and bridge digital skill gaps.

Qualifications

What distinguishes you:

Education:

• Degree in Computer Science, Statistics, Engineering, or related fields.

Experience:

• At least 2 years of relevant work experience in AI, machine learning, or data science roles;
• Experience managing software or IT projects;
• Experience with predictive modeling using mathematical, statistical, econometric, and deep learning techniques.

Know-how

• Proficiency in Python programming and algorithm development/implementation;
• Knowledge of cloud infrastructure, preferably Azure, Databricks and MLOps/LLMOps.

Languages

• Proficient in English (written and spoken).

Working Style and Personality

• Strong communication skills to effectively engage with diverse teams and stakeholders;
• Ability to facilitate knowledge sharing and digital skill enablement across business units;
• Passionate about innovation and continuous learning.

Additional Information

Work #LikeABosch means:

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🧑‍⚕️ Health insurance and medical office on site

📚 Training opportunities

📈 Opportunities for career progression and continuous professional development

💲 Access to great discounts in partnerships and Bosch products

🏋️ Sports and health related activities

🚉 Great access to public transports

🅿️ Free parking lot

🍽️ Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!