IN_RBIN_Assistant Manager/Senior Engineer_Data Scientist
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IN_RBIN_Assistant Manager/Senior Engineer_Data Scientist
Location
Nashik, Maharashtra, India
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
## Company Description
In India, Bosch is a leading supplier of technology and services in the areas of Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Additionally, Bosch has in India the largest development center outside Germany, for end to end engineering and technology solutions. The Bosch Group operates in India through twelve companies. Bosch set-up its manufacturing operation in 1951, which has grown over the years to include 18 manufacturing sites, and seven development and application centers. Bosch Group in India employs over 31,000 associates and generated consolidated revenue of about ₨.21,450 crores\ (2.66 billion euros) in 2018 of which ₨. 15,824 crores\(1.96 billion euros) from third party. The Group in India has close to 18,000 research and development associates.
In India, Bosch Limited is the flagship company of the Bosch Group. It earned revenue of over ₨. 12,460 crores (1.54 billion euros) in 2018. Additional information can be accessed at http://www.bosch.in.
## Job Description
Strategic Thinking And Leadership:
Mine & analyse data from databases and carry out predictive modelling to improve operational excellence. Develop custom data models and algorithms to apply to data sets.
KPI: Platform projects - Sustenance and Implementation
Communication And Change Management:
Communicating the benefits of digital solutions to stakeholders, including senior management and employees, and promoting a culture of innovation and continuous improvement.
KPI: Adoption of new technologies in AI/DA
Project Management:
Ability to develop project plans, manage budgets, and track progress against milestones. Ensure that the plant is compliant with all relevant regulations and standards related to digital technology in manufacturing.
KPI: Number of projects implemented
Data Analysis:
Analyse data to identify trends, make informed decisions, and measure the impact of digital transformation initiatives. Analyse data from manufacturing processes to identify areas for improvement of operational efficiency
KPI: Cost Saving
Technical Expertise:
Promote latest digital technologies and their application in manufacturing. Ensure that new technologies are effectively adopted by the plant
KPI: No of projects
Collaboration:
Collaborate effectively with cross-functional teams, external partners, Lead Plant and Expert members in other plant for New technology for vendors Relationship management & Value streams for delivering digital solutions.
## Qualifications
Graduation:
- Computer Science/ Electronics and telecommunication Engineering with Data Science Certification /or any other relevant engineering branch.
- Data Scientist Masters Program from a recognized university
## Additional Information
Required Skills & Experience :
Knowledge:
- Advanced knowledge of GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
- Hands on coding knowledge on languages: C, C++, R, Python, Java
- Experience in visualizing/presenting data for stakeholders: Power BI, Tableau, Power Point.
- Knowledge of MES, MAS, Azure data bricks, Big Data analytics, Prediction models
- Web application Development and Deployment
- Advanced knowledge of operations management, standing orders, Bosch Code of business conduct and related statutes
- Advanced knowledge in work safety, environment & health practices and regulations.
- Advanced knowledge in product liability, Quality management in IT services and IT Security
Functional Skills
- Advanced skill in communication, conflict management and interpersonal skills
- Advanced IT tools: SAP, MES, MAS, Agentic AI
- Advance AI techniques
- Troubleshooting skills with Analytical thinking
Personality traits :
1. Must be a good team player with win-win attitude
2. Good communication with effective feedback
3. Ability to explain Complex technical concepts to Technical and non-technical stake holders
4. Willingness to handle conflicting situations with internal, external state holders
5. Must lead the team towards a conclusive decision with agreement from all members
6. AGILE, Ready to take new tasks, eager to learn
7. Problem solving skills
Key Responsibilities
- Mine and analyze data from databases to carry out predictive modeling and improve operational excellence.
- Develop custom data models and algorithms to apply to data sets.
- Communicate the benefits of digital solutions to stakeholders, including senior management and employees.
- Promote a culture of innovation and continuous improvement.
- Develop project plans, manage budgets, and track progress against milestones.
- Ensure plant compliance with relevant regulations and standards related to digital technology in manufacturing.
- Analyze data to identify trends, make informed decisions, and measure the impact of digital transformation initiatives.
- Analyze data from manufacturing processes to identify areas for improvement of operational efficiency.
- Promote latest digital technologies and their application in manufacturing.
- Collaborate effectively with cross-functional teams, external partners, and plant members for new technology and vendor relationships.
Requirements
- Computer Science or Electronics and Telecommunication Engineering with Data Science Certification
- Data Science Masters Program from a recognized university
Skills Required
GLMRegressionRandom ForestBoostingTreesText miningSocial network analysisCC++RPythonJavaPower BITableauPowerPointMESMASAzure Data BricksBig Data analyticsPrediction modelsWeb application DevelopmentSAPAgentic AIAI techniquesCommunicationConflict managementInterpersonal skillsTeam playerWin-win attitudeFeedbackAbility to explain complex technical conceptsWillingness to handle conflicting situationsLeadershipAGILE mindsetProblem solving
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