Senior Advanced Data Scientist

Jobtailor; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Jobtailor in Bengaluru seeks a senior data scientist to drive AI initiatives. You will translate business needs into technical specs, collaborate with cross-functional teams, and deploy scalable AI models into production with ongoing monitoring.

Role emphasizes agentic architectures, multimodal data analysis, and governance with hands-on work across Databricks, LangChain, PySpark, Hadoop, Hive, and S/4 AI workflows.

Qualifications

• 6+ years of experience in data science, ML, or related field.
• Proven experience in developing and deploying AI models and algorithms.
• Experience with Databricks, Azure AI Foundry, or Google Gemini Enterprise Agent platform.
• Strong programming skills in Python or R.
• Excellent English communication and collaboration in cross-functional teams.
• Degree in CS/DS/Math or related quantitative field.
• Experience with big data platforms (Hadoop, PySpark, Hive).
• Hands-on with GenAI and agentic frameworks (LangChain, LlamaIndex, vector indexes).

Responsibilities

• Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions.
• Translate business requirements into technical specifications for data science initiatives.
• Partner with S4 team, functions and the business teams to understand AI capabilities, execute data readiness workstream for S4 and deploy AI enabled workflows for the PT business.
• Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency.
• Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and scalability.
• Design agentic AI architectures with prompt engineering and rule-based automation to identify root causes, recommend actions, and continuously refine business-aligned solutions.
• Develop and implement advanced AI models and algorithms to analyze complex datasets.
• Stay current with emerging AI research and technologies, incorporating relevant innovations into AI solutions.
• Ensure AI solutions adhere to data governance standards and ethical best practices throughout their lifecycle.

Skills

AI Model Development

Machine Learning

Python Programming

Data Governance

Prompt Engineering

Multimodal Data Analysis

Project Management

Communication Skills

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, or related field

Tools

Databricks

Azure AI Foundry

Google Gemini Enterprise Agent

LangChain

LlamaIndex

Vector Indexes

S/4 AI Agent Workflows

PySpark

Hadoop

Hive

Job description

• Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions.
• Translate business requirements into technical specifications for data science initiatives.
• Partner with S4 team, functions and the business teams to understand AI capabilities, execute data readiness workstream for S4 and deploy AI enabled workflows for the PT business.
• Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency.
• Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and scalability.
• Design agentic AI architectures with prompt engineering and rule-based automation to identify root causes, recommend actions, and continuously refine business-aligned solutions.
• Develop and implement advanced AI models and algorithms to analyze complex datasets.
• Stay current with emerging AI research and technologies, incorporating relevant innovations into AI solutions.
• Ensure AI solutions adhere to data governance standards and ethical best practices throughout their lifecycle.

Requirements

• 6+ years of experience in data science, machine learning, or a related field.
• Proven experience in developing and deploying AI models and algorithms.
• Experience working with Databricks, Azure AI foundry, Google Gemini Enterprise Agent platform or similar for data preparation, training, and experiment tracking.
• Strong programming skills in languages such as Python or R.
• Strong project management and organizational abilities.
• Strong written and spoken communication skills in English.
• Bachelor's or advanced degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
• Experience with big data platforms and distributed processing, including Hadoop, PySpark, Hive, and related technologies.
• Strong foundation in machine learning and statistics, including feature engineering, algorithm selection, hyperparameter tuning, and predictive modeling.
• Hands‑on experience with GenAI and agentic frameworks, such as LangChain, LlamaIndex, vector indexes/databases, and S/4 AI agent workflows.
• Experience preparing and analyzing multimodal data (text, images, audio, PDFs) and visualizing insights using modern data visualization tools.
• Proven leadership and collaboration skills, including leading data science initiatives, solving complex problems, and working effectively in fast‑paced, cross‑functional teams.

Core Competencies

Demonstrates expertise in developing and deploying AI models and algorithms, with a strong foundation in machine learning, statistics, and data governance. Proficient in collaborating with cross‑functional teams to translate business requirements into technical specifications and implement AI‑driven solutions.

Highest-signal resume keywords

• AI Model Development
• Machine Learning
• Python Programming
• Databricks
• Data Governance

ATS Optimization Keywords

Hard Skills

• Data Science
• Machine Learning
• Algorithm Development
• Feature Engineering
• Predictive Modeling
• Hyperparameter Tuning
• Big Data Technologies
• Multimodal Data Analysis
• Data Visualization
• Prompt Engineering

Soft Skills

• Project Management
• Organizational Abilities
• Written Communication
• Spoken Communication
• Collaboration Skills

Industry Keywords

• AI Solutions
• Data Governance Standards
• Ethical Best Practices
• Data Readiness
• Agentic AI Architectures

Tools & Technologies

• Azure AI Foundry
• Google Gemini Enterprise Agent
• Hadoop
• PySpark
• Hive
• LangChain
• LlamaIndex
• Vector Indexes
• S/4 AI Agent Workflows