IBM Data Scientist-Advanced Analytics Bangalore role in IBM Consulting CIC. Work on predictive/statistical models, enterprise search (Elasticsearch/Splunk), and GenAI code-assistant POCs. Apply now.
Job Overview (IBM Data Scientist-Advanced Analytics Bangalore)
Role: Data Scientist – Advanced Analytics
Location: Bangalore, India
Business unit: IBM Consulting (Client Innovation Center / Delivery Center) The Muse
Education: Bachelor’s degree (as listed in the posting).
Tip for your audience: Always verify status/deadline on the official “Apply on company site” page because mirrored listings can become outdated.
Key Responsibilities
In this IBM Data Scientist-Advanced Analytics Bangalore role, responsibilities include:
- Implementing/validating predictive models and maintaining statistical models for big data (ML + statistical techniques).
- Designing/implementing enterprise search solutions such as Elasticsearch and Splunk for client requirements.
- Working with cross-functional teams to choose data management systems and required data for analysis; handling database integration and complex/unstructured datasets.
- Building POCs to demonstrate the feasibility/effectiveness of AI solutions.
Required Skills (What to highlight in resume)
Use these keywords (good for ATS):
- Predictive modeling, statistical modeling, ML techniques on big data
- Enterprise search: Elasticsearch, Splunk
- POC development, solution documentation, architecture/design notes
- GenAI/code assistant: refactor/rewrite, code documentation, language-to-language translation (nice-to-have)
Preferred / “Big Plus” Working knowledge of COBOL & Java preferred.
Experience with code generation/code matching/code translation using LLM capabilities is a big plus. The Muse
How to Apply (simple steps)
- Open the official application page (“Apply on company site”).
- Tailor your resume: add 6–10 keywords from “Responsibilities/Skills” above.
- In your resume projects, add 2 bullets:
- “Built predictive/statistical model on large dataset; validated performance with proper evaluation.”
- “Implemented search/analytics pipeline (Elasticsearch/Splunk) OR built POC on GenAI refactor/translation.”
- Apply and track the application in your sheet.
Quick FAQ: Is this a Data Scientist role or a Data Engineer? The posting mentions “Data Scientist – Advanced Analytics” but also references data engineering tasks (data pipelines/integration). Treat it as analytics + data engineering + applied AI.
What should freshers emphasize? POCs, ML model validation, documentation, and any search/log analytics work (Elasticsearch/Splunk).
Inside your post, link out to:
- IBM “apply on company site” page (official application)
- Elasticsearch documentation
- Splunk documentation
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