UNDERSTAND THE JOB ROLE
IBM is hiring for the position of Data Scientist – Artificial Intelligence in Bangalore, Karnataka. This is a professional-level opportunity within IBM Consulting and the Data & Analytics business area. The role is suitable for candidates who have a strong interest in Data Science, Artificial Intelligence, Machine Learning, Generative AI, predictive analytics, and solving real-world business problems using data.
As an Associate Data Scientist, the selected candidate will work with leading-edge and open-source technologies such as Python, R, TensorFlow, and modern AI application tools. The role involves preparing, cleansing, analyzing, and understanding data to generate meaningful insights, predict emerging trends, develop analytical models, and provide recommendations to business stakeholders.
The position also includes developing Proofs of Concept for AI solutions, collaborating with engineering and development teams, documenting technical solutions, and exploring GenAI-assisted software modernization use cases. Candidates may work on rapid prototypes demonstrating how GenAI code assistants can refactor, rewrite, and document code between programming languages, including COBOL to Java.
IBM RECRUITMENT 2026
Company: IBM India Private Limited
Job Title: Data Scientist – Artificial Intelligence
Job ID: 86123
Location: Bangalore, Karnataka, India
Country: India
Position Type: Professional
Employment Type: Regular
Work Arrangement: Hybrid
Work Area: Data & Analytics
Education Required: Bachelor's Degree
Preferred Education: Master's Degree
Shift: General / Daytime
Travel Requirement: Up to 20% or approximately 1 day per week
Department: IBM Consulting
ABOUT IBM
IBM is a global technology and consulting company working across areas such as artificial intelligence, hybrid cloud, enterprise software, data, automation, and technology transformation.
IBM Consulting works with organizations across industries to solve complex business and technology challenges. The consulting environment brings together data scientists, software engineers, consultants, database professionals, and other specialists to develop technology-driven solutions.
For candidates joining this role, the opportunity can provide exposure to enterprise AI projects, data science methodologies, machine learning technologies, cloud environments, GenAI solutions, and business-focused analytics.
ABOUT THE DATA SCIENCE ROLE
The Data Scientist will use data and advanced analytical techniques to understand business problems and develop solutions that can support better decision-making.
The role involves working with structured and potentially large-scale datasets, preparing data for analysis, developing statistical and machine learning models, validating results, and translating technical findings into useful business recommendations.
The selected candidate will also be expected to understand the business context behind a problem rather than focusing only on the technical implementation. This means communicating with stakeholders, understanding requirements, selecting appropriate modelling techniques, evaluating results, and presenting conclusions clearly.
KEY RESPONSIBILITIES
The selected candidate will prepare, analyze, and interpret data to identify useful patterns, trends, relationships, and insights. These insights will be used to support business decisions and develop analytical solutions.
The role involves implementing and validating predictive and prescriptive models. Candidates may work with statistical models and machine learning techniques, particularly when working with large datasets and complex business problems.
The candidate will also develop programs for data cleansing and integration. These programs should be efficient, reusable, and capable of supporting repeatable data-processing workflows.
Another important responsibility is evaluating modelling results. Candidates need to understand whether a model is producing meaningful and reliable outcomes and communicate those findings to appropriate stakeholders.
The role also requires collaboration with scientists, engineers, consultants, database administrators, developers, and business stakeholders. Candidates will work in an Agile and collaborative environment where different technical and business teams contribute to solving the same problem.
DATA PREPARATION AND ANALYSIS
Data preparation is an important part of the role.
The candidate may need to clean, transform, integrate, and organize data before it can be used for statistical analysis or machine learning.
Understanding data quality, missing values, inconsistent information, data transformation, and appropriate feature preparation can therefore be important when working on data science projects.
The candidate should also be comfortable using programming and data-analysis libraries to manipulate datasets and prepare them for modelling.
MACHINE LEARNING AND AI
The position has a strong focus on Artificial Intelligence and Machine Learning.
Candidates should understand how machine learning can be applied to business problems and should be familiar with concepts such as predictive modelling, model validation, training data, testing data, feature engineering, model evaluation, and statistical analysis.
Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face is preferred.
Knowledge of machine learning libraries such as Scikit-learn is also beneficial.
PYTHON AND PROGRAMMING SKILLS
Strong programming ability is an important requirement for this opportunity.
Python is specifically mentioned as an important technology for the role. Candidates should be comfortable writing Python programs for data preparation, analysis, modelling, automation, and AI-related tasks.
Experience with R can also be useful because IBM mentions Python and R among the technologies used by Data Scientists.
Candidates should have a practical understanding of writing reusable and maintainable code rather than only theoretical programming knowledge.
DATA SCIENCE LIBRARIES
The job description specifically mentions familiarity with popular data science libraries.
Candidates should ideally have exposure to Pandas for data manipulation, Matplotlib for data visualization, and Scikit-learn for machine learning workflows.
Knowledge of these tools can help candidates perform data cleaning, exploratory analysis, visualization, feature preparation, model development, and evaluation.
GENAI AND AI CODE ASSISTANTS
An important part of this role is exposure to Generative AI and AI-assisted software development.
The candidate may help develop Proofs of Concept demonstrating how GenAI code assistants can refactor, rewrite, and document existing code.
One specific use case mentioned by IBM is transforming legacy COBOL code into Java using GenAI-assisted approaches and rapid prototypes.
This means candidates interested in both Data Science and Generative AI can gain exposure to practical enterprise AI applications rather than working only on theoretical models.
PROOF OF CONCEPT DEVELOPMENT
The selected candidate will be involved in developing POCs to demonstrate whether proposed AI solutions are technically feasible and capable of delivering the expected results.
Candidates will collaborate with development teams to implement, test, improve, and iterate on these prototypes.
The candidate may also need to explain the purpose, architecture, implementation, results, and limitations of a POC to technical and business stakeholders.
COBOL AND JAVA KNOWLEDGE
Working knowledge of COBOL and Java is listed as preferred experience.
This can be particularly useful for projects involving legacy application modernization and code transformation.
Candidates with experience in either Java or COBOL, along with AI and data science knowledge, may find this combination useful for the GenAI modernization projects mentioned in the role.
CLOUD TECHNOLOGY
Familiarity with cloud platforms is preferred.
Candidates interested in enterprise Data Science and AI should understand the basic concepts behind cloud-based computing, data processing, AI services, scalable infrastructure, and deployment environments.
Specific cloud platforms are not mandated in the provided job description, so candidates should focus on having a solid general understanding of cloud technologies.
STAKEHOLDER MANAGEMENT
The role requires regular interaction with internal and external stakeholders.
The candidate will need to understand business requirements, clarify problems, discuss modelling approaches, communicate analytical findings, and explain technical results.
Being able to communicate complex analytical concepts in a simple and understandable manner will therefore be important.
COMMUNICATION SKILLS
Strong communication skills are important because Data Scientists often work between technical teams and business stakeholders.
The candidate should be able to explain modelling results, insights, assumptions, technical limitations, and recommendations clearly.
Both technical documentation and verbal communication can form an important part of the role.
TECHNICAL DOCUMENTATION
The candidate will also contribute to technical documentation.
Responsibilities may include documenting solution architectures, design decisions, implementation details, lessons learned, and best practices.
The role can also involve creating technical documents, white papers, and best-practice guides related to AI solutions and Proofs of Concept.
AGILE WORK ENVIRONMENT
IBM states that the role involves working in an Agile and collaborative environment.
The candidate may work with professionals from different disciplines and contribute to iterative development and solution delivery.
Understanding Agile principles and being comfortable collaborating with different teams can therefore be beneficial.
EDUCATIONAL QUALIFICATION
A Bachelor's Degree is required for this position.
A Master's Degree is listed as preferred.
The provided job description does not mention a specific mandatory undergraduate specialization. Candidates should nevertheless verify the official application requirements before submitting their application.
EXPERIENCE AND ELIGIBILITY
The provided posting identifies the position as a Professional role but does not specify a fixed number of years of experience.
Candidates should therefore evaluate the role based on their actual Data Science, Artificial Intelligence, Machine Learning, programming, and project experience.
Relevant academic projects, professional projects, internships, research work, and practical experience with Python, machine learning, AI frameworks, and data analysis can be useful when demonstrating suitability.
WORK ARRANGEMENT
The position is based in Bangalore, Karnataka.
The work arrangement is Hybrid, meaning the candidate will work through a combination of office and other approved working arrangements according to IBM's requirements.
The job also lists a travel requirement of up to 20% or approximately one day per week.
The shift is listed as a General daytime shift.
TRAVEL REQUIREMENT
The position may involve travel of up to 20%, described in the job details as approximately one day per week.
Candidates should therefore be comfortable with occasional business-related travel if required by the project or client engagement.
CAREER OPPORTUNITY
This IBM role can provide valuable exposure to several fast-growing technology areas.
Candidates can potentially gain experience across Data Science, Machine Learning, Artificial Intelligence, Generative AI, predictive analytics, enterprise consulting, cloud technologies, and AI-assisted software modernization.
Working alongside engineers, consultants, scientists, database professionals, and business stakeholders can also provide broader exposure to how enterprise technology projects are designed and delivered.
WHO CAN CONSIDER THIS ROLE
This opportunity can be relevant for candidates who have a strong foundation in Python and Data Science and want to move deeper into Artificial Intelligence and Machine Learning.
Candidates with experience in machine learning frameworks, data-analysis libraries, AI projects, GenAI, POC development, or enterprise analytics can consider applying.
Professionals who are interested in combining Data Science with Generative AI and software modernization may also find the role particularly relevant.
IMPORTANT SKILLS TO PREPARE
Candidates preparing for this opportunity should revise Python programming, statistics, probability, machine learning fundamentals, predictive modelling, prescriptive modelling, data preprocessing, feature engineering, model validation, and model evaluation.
Candidates should also revise Pandas, Scikit-learn, Matplotlib, TensorFlow or PyTorch, and basic concepts of Generative AI.
Knowledge of Java, COBOL, cloud platforms, Agile development, technical documentation, and POC development can provide additional value.
IMPORTANT POINTS BEFORE APPLYING
The position is Data Scientist – Artificial Intelligence with IBM India Private Limited.
The job location is Bangalore, Karnataka.
A Bachelor's Degree is required, while a Master's Degree is preferred.
The position is a regular professional role with a hybrid work arrangement.
The role has a general daytime shift.
Travel of up to 20% or approximately one day per week may be required.
Strong Python and AI/Data Science knowledge is important for the position.
COBOL and Java experience is preferred, particularly for the GenAI-assisted code modernization use case.
APPLICATION DETAILS
Job ID: 86123
Company: IBM India Private Limited
Location: Bangalore, Karnataka, India
Work Arrangement: Hybrid
Employment Type: Regular
Position Type: Professional
Candidates interested in the opportunity should review the official IBM careers listing and verify the latest eligibility and application requirements before applying.
RECRUITMENT SAFETY
Candidates should use the official IBM careers platform when applying for this opportunity.
Do not pay money to anyone claiming to provide an IBM job, interview, offer letter, or recruitment service. Candidates should verify suspicious recruitment communication through IBM's official career channels.
FINAL WORDS
The IBM Data Scientist – Artificial Intelligence opportunity is a strong career option for professionals who want to work at the intersection of Data Science, Machine Learning, Artificial Intelligence, and Generative AI.
The position goes beyond traditional data analysis by combining predictive modelling, AI frameworks, POC development, GenAI code assistance, enterprise consulting, and software modernization. Candidates with strong Python skills, practical machine learning knowledge, and an interest in applying AI to real business problems can consider this opportunity.
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