Yes. We’ve followed 10 other Data Scientist jobs there since May 2026. 8 came down, usually after about 4 days. 2 are still up.
BengaluruCame down after 7 days, first seen May 22
BengaluruCame down after 0 days, first seen Jul 13
BengaluruCame down after 1 day, first seen Aug 13
BengaluruCame down after 1 day, first seen Aug 13
BengaluruCame down after 1 day, first seen Aug 13
BengaluruStill up after 86 days, first seen Aug 14
BengaluruCame down after 12 days, first seen Aug 14
BengaluruStill up after 24 days, first seen Oct 15
This jobUp 10 days so far, first seen Oct 29
May 22Today
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Responsible for identifying, developing and implementing digital solutions to optimize manufacturing and
business processes. It combines data analytics, artificial intelligence, automation, and software
development to create platforms, applications, bots, dashboards, and integrations with corporate and plant
systems.
Its objective is to reduce manual and duplicate activities, facilitate decision-making and improve
productivity, traceability, quality and use of direct and indirect personnel.
Requisitos
1. Artificial Intelligence and Machine Learning
2. Python and software development N8N Automations
3. SQL and Database Administration
4. Data Engineering, Transformation, and Quality
5. Process automation: n8n, Fastlane, and Automation Anywhere
6. Power BI and data visualization
7. API integration with SAP, MES and other systems
8. Testing, documentation, version control and software release
Información adicional
Manejo de conflictos
Sentido de urgencia
Excelente comunicación
Multitareas
Alto nivel de servicio al cliente
Descripción de la empresa
The Bosch Group’s Power Tools Division is one of the world’s leading providers of power tools, accessories, and measuring tools. In 2017, its approximately 20,000 associates generated sales of 5 billion euros. It includes brands such as Bosch and Dremel. The Power Tools Division’s purpose is: “We create fascinating products that fill our users with pride and joy, offering intuitive use and ensuring physical safety.”