Sr Advanced Data Scientist
Bengaluru, Karnataka, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingCollaborate 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.
From the employer’s posting
KEY 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.
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.
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.
Tools in this posting
- Python
- Azure
- Databricks
- Hadoop
- Hive
- PySpark
- R
Source — Tool mentions in context
- 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
- 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.
- 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.
Job description
KEY 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.
YOU MUST HAVE
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.
WE VALUE
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on ibqbjb.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 13, 2026
- Recorded sightings
- 127
- Last seen by us
- Oct 6, 2026
- Employer says posted
- Jul 28, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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