Bosch Group: Senior Data Scientist – AI, Data Engineering & Intelligent Automation — bangalore, India

Bosch Group lists a Senior Data Scientist – AI, Data Engineering & Intelligent Automation opening in bangalore, India. The position is listed as full-time. The job description covers Python, SQL, AWS, Azure, Google Cloud, Kubernetes, Docker.

Recruitment overview

OrganisationBosch Group
Post / roleSenior Data Scientist – AI, Data Engineering & Intelligent Automation
Employment typeFull-time
Notification / job IDREF297581O
Job locationbangalore, India
Work arrangementOn-site
Educational qualificationDegree / qualification: Bachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field
Experience required8+ years of experience in Data Science, Data Engineering, AI, or Analytics domains
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Bosch Group

Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.

The position and its setting

Bosch Group lists Senior Data Scientist – AI, Data Engineering & Intelligent Automation in bangalore, India, under reference REF297581O. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Employment type: Full-time
  • Employer listing date: 15 October 2026
  • Contract type: Unlimited
  • Legal Entity: Bosch Global Software Technologies Private Limited
  • Brands: Bosch Group

Responsibilities and work described

  • Data Analytics/Pyspark/Azure data bricks
  • Pipeline Design & Development: Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader
  • Data Governance & Security: Enforce data access policies, row/column-level security, and lineage tracking using Databricks Unity Catalog to protect PII and maintain compliance
  • Orchestration & Workflow Automation: Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers (e.g., Apache Airflow, Azure Data Factory)
  • Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelines
  • Big Data handling:Design and implement scalable data ingestion, transformation, and processing pipelines
  • Automate data collection, validation, and integration workflows
  • Quality / delivery: data quality, reliability, and governance across the data ecosystem
  • Interface with diverse enterprise data sources including databases, APIs, cloud platforms, files, streaming systems, and third-party applications
  • Analysis: structured and unstructured data to derive actionable insights and recommendations
  • Design: experiments, evaluate data performance, and continuously improve solution effectiveness
  • Apply advanced analytics techniques to support business decision-making
  • Data Visualization & Business Insights
  • Building: intuitive dashboards and visualizations to communicate insights effectively
  • Translate technical findings into business-friendly recommendations
  • Support: leadership teams with data-driven decision-making.AI, GenAI & Agentic Solutions

Essential requirements and candidate background

  • Data Science & Analytics, Machine Learning, Statistical Modeling, Predictive Analytics, Data Mining, Feature Engineering Model Evaluation and Optimization
  • Programming & Development: Python (Mandatory), SQL (Mandatory)
  • Scripting and automation skills
  • Bachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field
  • Master's Degree is an added advantage
  • 8+ years of experience in Data Science, Data Engineering, AI, or Analytics domains
  • Experience delivering end-to-end solutions from data acquisition
  • B.E

Experience and professional background

  • Experience stated: 6 to 8 years

Location, schedule and contract conditions

  • Work arrangement: On-site
  • Advertised location: bangalore, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Data Scientist – AI, Data Engineering & Intelligent Automation vacancy is not an offer for reference REF297581O; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Bosch Group

Applications follow the official employer page linked below.

Open the official Bosch Group posting below and match the title and reference REF297581O.

Compare your qualifications and experience with the essential conditions for the bangalore, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • SQL
  • Kubernetes
  • CI/CD
  • Docker
  • AWS
  • GCP
  • Azure
  • MCP
  • REST APIs
  • APIs
  • AI/ML
  • LLMs
  • Google Cloud
  • Git

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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