Data Scientist at IBM

Are you passionate about AI, machine learning, and data analytics with aspirations to work on enterprise-scale transformation projects? The Data Scientist position at IBM Bangalore offers an exceptional opportunity to work with IBM’s CIO Technology Platform Transformation team, modernizing technology infrastructure and powering AI-enabled experiences for one of the world’s leading technology companies.

IBM’s CIO TPT team plays a crucial role in transforming enterprise operations through AI-first technology platforms. This role combines strategic thinking with technical skills to implement data-driven solutions that improve decision-making, solve complex problems, and drive business growth. You’ll work on cutting-edge AI projects involving GenAI, LLMs, machine learning, and cloud computing while directly influencing productivity and strategic decision-making across IBM.

🚀 About the Data Scientist Role at IBM

This position, titled “AI Engineer/SW Developer” in the job description, places you at the intersection of data science, artificial intelligence, and business strategy. You’ll design and implement machine learning solutions, work with large language models, and apply AI ethics principles while collaborating with cross-functional teams. The role involves everything from data exploration and model development to solution deployment and measuring business impact through KPIs.

📊 Job Details

About IBM CIO Technology Platform Transformation

Team Mission

The IBM CIO TPT team modernizes and optimizes IBM’s technology infrastructure and platforms to power AI-enabled experiences through AI-first technology platforms that:

• Enable and streamline existing processes
• Enhance cybersecurity and security measures
• Improve user experience through cutting-edge technologies
• Leverage AI, machine learning, and cloud computing

Strategic Objectives

• AI-First Approach: Drive adoption of emerging technologies to optimize and automate business functions with digital experience
• Cybersecurity Excellence: Enable best-in-class IT with enhanced security measures for protecting sensitive information and maintaining regulatory compliance
• Legacy Modernization: Modernize legacy systems and integrate disparate applications to improve interoperability and reduce technical debt
• Cross-Functional Collaboration: Align technology efforts with broader corporate objectives across departments
• Thought Leadership: Provide guidance and expertise on technology trends, best practices, and standards

Primary Job Responsibilities

1. Implement AI, Data Science, and Technical Execution

• Support design, implementation, and optimization of AI-driven strategies per business stakeholder requirements
• Design and implement machine learning solutions and statistical models from problem formulation through deployment
• Analyze complex datasets and generate actionable insights for business decisions
• Apply Generative AI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable
• Collect, clean, and preprocess both structured and unstructured datasets
• Help refine data-driven methodologies for transformation projects
• Learn and utilize cloud platforms to ensure scalability of AI solutions
• Leverage reusable assets and apply IBM standards for data science and development
• Implement ML Ops practices and AI ethics principles

2. Strategic Planning & Execution

• Translate business requirements into comprehensive technical strategies
• Ensure alignment to stakeholders’ strategic direction and tactical needs
• Apply business acumen to analyze business problems and develop innovative solutions
• Collaborate with stakeholders and team members to prioritize work effectively
• Balance technical excellence with business value delivery

3. Project Management and Delivering Business Outcomes

• Manage and contribute to various stages of AI and data science projects from data exploration to deployment
• Use agile strategies to manage and execute work efficiently
• Monitor project timelines and help resolve technical challenges proactively
• Design and implement measurement frameworks to benchmark AI solutions
• Quantify business impact through well-defined KPIs and metrics
• Ensure solutions deliver measurable value to the organization

4. Communication and Collaboration

• Communicate regularly and present findings to collaborators and stakeholders
• Adapt communication style for both technical and non-technical audiences
• Create compelling data visualizations and interactive dashboards
• Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems
• Document technical implementations and business outcomes clearly
• Facilitate knowledge sharing and continuous learning within teams

• Sasken Fresher Hiring Program ₹5 LPA: Complete Registration Guide

Help a friend land their next role. Share now!

📋 Required Qualifications and Skills

Educational Requirements

Minimum: Bachelor’s Degree (required)

Preferred Fields:

• Computer Science
• Data Science
• Statistics
• Mathematics
• Engineering
• Related quantitative fields

Required Experience

Hands-on Experience with AI/ML:

• Through coursework, academic projects, internships, or full-time positions
• Demonstrated application of AI/ML technologies and statistical modeling
• Participation in AI/Data-related summits (e.g., Kaggle competitions, Hackathons) is an added advantage

Large Language Models (LLMs):

• Experience with prompt engineering or fine-tuning LLMs
• Familiarity with tools like LangChain, Hugging Face Transformers, or OpenAI APIs
• Understanding of model evaluation metrics specific to LLMs

• Cvent Hiring Intern User Research

Required Technical Skills

Strategic and Analytical Skills

• Strategic thinking and business acumen
• Strong problem-solving abilities and eagerness to learn
• Ability to work with complex datasets and derive actionable insights
• Attention to detail in data analysis and model development
• Critical thinking for complex problem decomposition

Communication and Soft Skills

• Excellent communication skills with ability to explain technical concepts clearly
• Independent worker with strong team orientation
• Understanding of AI Ethics principles and responsible AI
• Works openly and inclusively in diverse teams
• Adaptable to fast-paced environments and changing priorities
• Enthusiasm for learning and applying new technologies
• Growth mindset focused on continuous improvement
• Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines

Follow us on LinkedIn for the latest updates

Follow us on Threads for the latest updates

Subscribe ▶️ YouTube Channel for Latest Updates

💰 Expected Salary Range

• Sense Analytics Engineering Intern Hiring

Application Tips

• Highlight hands-on experience with LLMs and prompt engineering
• Showcase Kaggle competition participation and rankings
• Emphasize projects demonstrating end-to-end ML workflow
• Include examples of translating business problems into technical solutions
• Demonstrate understanding of AI ethics and responsible AI
• Prepare to discuss cloud platform experience (AWS/Azure/IBM Cloud)
• Show business acumen through project impact storytelling
• Express enthusiasm for working on enterprise-scale transformation
• Research IBM’s AI initiatives (WatsonX, IBM Cloud, Quantum)
• Prepare questions about CIO TPT team projects and culture
• Highlight ability to communicate complex concepts to non-technical audiences
• Showcase collaborative projects and cross-functional teamwork

Disclaimer: This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and are not responsible for any loss or damage arising from reliance on this information.