Senior Data Scientist - AI, Data Engineering & Intelligent Automation

Bosch; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Bosch Global Software Technologies Private Limited is seeking a senior data scientist/engineer to build scalable data pipelines and AI-driven solutions across cloud platforms. You will design end-to-end data flows, ensure governance, and translate complex data into actionable business insights.

Role requires 8+ years in data science/engineering, strong Python/SQL, and experience with Databricks, cloud platforms, and DevOps practices.

Qualifications

• 8+ years of experience in Data Science, Data Engineering, AI, or Analytics.
• End-to-end delivery of data pipelines and analytics solutions.

Responsibilities

• Design and implement scalable data ingestion, processing, and analytics pipelines.
• Develop and maintain batch/real-time ETL/ELT processes with PySpark and Delta Lake.
• Enforce data governance, security, and lineage across platforms.
• Collaborate with stakeholders to translate requirements into scalable architectures.
• Lead data visualization and storytelling to drive business decisions.
• Mentor junior engineers and promote best practices in data engineering.

Skills

Data Science & Analytics

Machine Learning

Statistical Modeling

Predictive Analytics

Data Mining

Feature Engineering

Model Evaluation

Data Visualization

Data Storytelling

REST APIs

Git

Python Programming

SQL

Scripting & Automation

Education

BE/BTech in CS/IT/Engineering/Data Science

Master's Degree (added advantage)

Tools

Azure

AWS

GCP

Databricks

Docker

Kubernetes

CI/CD

Job description

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Key Responsibilities

• 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.
• Ensure 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.
• Analyze 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 InsightsBuild 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 SolutionsDesign and develop AI-powered applications using modern Large Language Models (LLMs).
• Build Agentic AI workflows and intelligent assistants for enterprise use cases.
• Implement Model Context Protocol (MCP)-based integrations and orchestration frameworks.
• Develop Retrieval-Augmented Generation (RAG) and enterprise knowledge solutions.
• Deployment, Cloud & InfrastructureDeploy AI and analytics solutions across cloud and on-premises environments.
• Design scalable solution architectures on Azure, AWS, GCP, or hybrid platforms.
• Containerize applications using Docker.
• Collaborate with infrastructure and DevOps teams to ensure production-grade deployments.
• Stakeholder Management & Technical LeadershipWork closely with business stakeholders to understand requirements and define solution roadmaps.
• Lead technical discussions and provide architectural guidance.
• Present complex technical concepts to both technical and non-technical audiences.
• Mentor junior team members and promote engineering best practices.

Required Technical Skills

• Data Science & Analytics
• Machine Learning
• Statistical Modeling
• Predictive Analytics
• Data Mining
• Feature Engineering
• Model Evaluation and Optimization
• Programming & DevelopmentPython (Mandatory)
• SQL (Mandatory)
• Strong scripting and automation skills
• REST APIs and system integrations
• Version control systems (Git)
• Data EngineeringETL/ELT Development
• Data Pipeline Design
• Data Warehousing Concepts
• Workflow Automation
• Structured and Unstructured Data Processing
• Data VisualizationPower BI, Tableau, Looker, or equivalent platforms
• Dashboard DevelopmentData Storytelling
• Cloud & InfrastructureAzure, AWS, or GCPDockerKubernetesCI/CD ConceptsSolution Deployment and MonitoringAI & Generative AILarge Language Models (LLMs)Claude, OpenAI, and related AI platformsAgentic AI FrameworksModel Context Protocol (MCP)Prompt EngineeringRAG ArchitecturesAI Application Deployment

Qualifications

• 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.
• Proven experience delivering end-to-end solutions from data acquisit

Qualifications

B.E

Additional Information

6 to 8 years