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Data Scientist - Artificial Intelligence Job Opening In Mumbai – Now Hiring IBM

Data Scientist Artificial Intelligence

    India Jobs Expertini Expertini › India › Jobs › Mumbai › Other General › Data Scientist Artificial Intelligence

Job description

**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world.

Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting.

In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients.

Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
Position: Data Scientist - Artificial Intelligence

Primary Industry: Financial Services (BFSI)

Business Unit of IBM: Hybrid Cloud and Data unit IBM Consulting for India & South Asia

Seniority of the role will be commensurate with skills and experience.

Minimum Educational Background: Bachelor of Computer Science or Maths.

Other engineering or science disciplines can be considered if the candidate has demonstrated in-depth working knowledge of the subject area described below.

Location: Preferred location in Mumbai.

Other locations that are possible are Bengaluru, Pune, Chennai or NCR.

The role will involve up to 40% travel in India for client meetings or discussions.

This role is responsible for designing and developing full-stack AI-driven automation solutions in banking business analytics and digital banking workflows.

Leverage LLMs, SLMs, MCP, and enterprise AI tools to build intelligent automation that enhance productivity, efficiency, and customer experience in banking operations.

Role involves end-to-end development—data integration, model orchestration, workflow automation, and deployment—ensuring scalability, security, and compliance within financial environments.
**Required technical and professional expertise**
Skills & Qualifications

Soft Skills: Strong problem-solving, stakeholder communication, and ability to bridge business needs with AI solutions.

AI/ML Expertise: Hands-on experience of working with LLMs, SLMs, Multi-Agent/MCP frameworks, and AI workflow orchestration tools.

Full Stack Development: Proficiency in Python, Java/Node.js, REST APIs, web frameworks (React/Angular), and microservices.

Data & Cloud Platforms: Strong understanding of datalakehouse architectures, SQL/NoSQL databases, and deployment on AWS/Azure/GCP.

Automation & Integration: Skilled in building AI-driven automation pipelines, conversational/agentic AI integrations, and productivity tools.

DevOps & MLOps: Experience with CI/CD, containerization (Docker/Kubernetes), model deployment/monitoring, and AI governance best practices.

Security & Compliance: Understanding of data privacy, RBI/financial regulations, and secure AI system deployment.

Banking Domain Knowledge: Familiarity with digital banking workflows, business analytics, and compliance/regulatory requirements is desired.
**Preferred technical and professional experience**
Building advanced automation using Gen AI

Advanced knowledge in Maths for AI
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.

IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


Required Skill Profession

Other General


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Interview Tips for Data Scientist Artificial Intelligence Job Success

IBM interview tips for Data Scientist Artificial Intelligence

Here are some tips to help you prepare for and ace your Data Scientist Artificial Intelligence job interview:

Before the Interview:

Research: Learn about the IBM's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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During the Interview:

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Data Scientist Artificial Intelligence interview at IBM, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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