Data Scientist (f/m/div.)

Bosch Group bosch.com Open

Hybrid Braga Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Bosch Group. Braga · full-time.

Pay not stated Data Scientist salary

RoleData Science

SeniorityMid-level

LocationBraga

WorkplaceHybrid

EmploymentFull-time

PostedNov 5, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Analyze manufacturing data to find patterns, trace causes of problems and identify ways to improve processes
Build and check AI and machine learning models for quality, maintenance, yield and other production needs
Carry solutions through data exploration, model development and validation, then support their rollout and ongoing improvement
Work with engineering, production, data and technology teams to make solutions usable and scalable
Create reusable analytical methods and models that teams can apply across projects and locations

What you bring

An MSc or PhD in a relevant technical or quantitative field, such as data science, engineering or statistics
Experience building machine learning, AI or advanced analytics solutions with complex industrial, engineering or technical data
Hands-on involvement in full data science projects, from preparing data through model validation and deployment
Strong Python skills, good SQL knowledge and a working grasp of machine learning, statistics and MLOps
Fluent written and spoken English

Who this fits

This role suits a mid-level data scientist who can turn manufacturing and engineering challenges into practical analytical solutions. You’ll work with technical and non-technical colleagues across the solution lifecycle. The position is hybrid in Braga.

From the employer

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 Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

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.

As a Data Scientist, you will help shape the future of manufacturing by transforming complex engineering and production challenges into data-driven solutions that create measurable business value.

Working at the intersection of Artificial Intelligence, Machine Learning and Industrial Analytics, you will analyse manufacturing data to uncover patterns, identify root causes and drive process improvements. Your insights will support smarter decisions, enhance product quality and increase operational efficiency across manufacturing environments.

You will develop and validate AI/ML models and advanced analytics solutions for use cases such as:

Quality improvement and process optimization
Anomaly detection and root cause analysis
Predictive maintenance and failure prediction
Productivity and yield improvement
Process stability monitoring
Decision support for engineering and manufacturing teams

As part of a multidisciplinary team, you will collaborate closely with Process Experts, Technology Development Engineers, Data Analysts, MES/PLC specialists, Data Engineers, MLOps teams, IT professionals and business stakeholders to ensure solutions are scalable, explainable and aligned with real operational needs.

You will contribute throughout the entire solution lifecycle, from problem definition and data exploration to model development, validation, deployment support and continuous improvement. In addition, you will help standardize and reuse analytical methods, models and best practices across projects and locations, supporting Bosch's digital transformation journey and Industry 4.0 initiatives.

What distinguishes you:

Education

MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Statistics, Engineering, Physics or a related field.
Academic or professional background in machine learning, statistics, optimization or data-driven problem solving.

Experience

Experience developing Machine Learning, Artificial Intelligence or Advanced Analytics solutions.
Hands-on experience working with complex datasets in industrial, engineering, manufacturing or technical environments.
Experience contributing to end-to-end data science projects, including data preparation, model development, validation and deployment.
Exposure to manufacturing, process development, industrialization, quality improvement or equipment-related analytics is considered an advantage.

Know-how

1. Machine Learning & Advanced Analytics

Knowledge of machine learning methods, including regression, classification, clustering, anomaly detection, forecasting and optimization.
Experience applying techniques such as feature engineering, model evaluation, hyperparameter tuning and model explainability.
Familiarity with deep learning approaches is a plus.

2. Statistics & Experimental Methods

Knowledge of statistical analysis, probability and experimental data analysis.
Experience with hypothesis testing, regression analysis, statistical significance and data interpretation.
Understanding of process variability, capability analysis, performance indicators and Design of Experiments (DoE).

3. Programming & Data Science Tools

Proficiency in Python and good knowledge of SQL.
Experience with data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn, Plotly, PyTorch or TensorFlow.
Familiarity with Git and collaborative software development practices.

4. MLOps & Industrial Deployment

Understanding of MLOps concepts, including model versioning, testing, reproducibility, CI/CD and monitoring.
Experience with cloud-based AI platforms, preferably Databricks, is an advantage.
Knowledge of APIs, containers and deployment concepts is beneficial.

5. Industrial Data & Manufacturing Systems

Experience working with structured, semi-structured and time-series data.
Familiarity with manufacturing systems and data sources such as MES, PLC, SCADA, Historian systems, test systems or production databases.
Understanding of manufacturing KPIs such as OEE, yield, scrap, downtime, cycle time, rework and process capability is an advantage.

Languages

Fluent English, written and spoken.

Working Style and Methods

Structured and analytical approach to problem-solving.
Ability to transform complex challenges into practical, scalable solutions.
Strong collaboration skills with both technical and non-technical stakeholders.
Clear communication skills and ability to present analytical insights in an actionable way.
Strong focus on quality, reusability and continuous improvement.

Personality

Curious and eager to learn new technologies and methodologies.
Proactive, collaborative and solution-oriented mindset.
Strong sense of ownership and accountability.
Passion for data, innovation and making a tangible impact in industrial environments.

Work #LikeABosch includes:

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🛡️ Health insurance

🧑‍⚕️ Medical office (psychology and general clinic) & Social Services Office on site

📚 Training opportunities (p.e., technical training, foreign languages training) & certifications

📈 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 transport from Porto