IN_RBIN_Assistant Manager/Senior Engineer_Data Scientist

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 www.bosch.in .

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.

Requirements

Computer Science/ Electronics and telecommunication Engineering with Data Science Certification /or any other relevant engineering branch.; Data Scientist Masters Program from a recognized university