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IBM is hiring a Data Scientist for its Bengaluru, Karnataka office. In this full-time role within IBM’s Chief Information Office, he will work on transformative, AI-powered enterprise projects. The technical expertise in data science and machine learning will support the development of data-driven solutions aligned with IBM’s business objectives. They join a collaborative environment that encourages experimentation, innovation, and real-world impact.
Location: Bengaluru, Karnataka, India
Job Title: Data Scientist
Job ID: 39742
Work arrangement: Hybrid
Area of work: Data & Analytics
Employment Type: Regular
Position type: Professional
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As a Data Scientist at IBM, you will:
Technical Execution and Leadership
Develop and deploy AI models and data analytics solutions.
Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements.
Help refine data-driven methodologies for transformation projects.
Data Science and AI
Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights.
Learn and utilise cloud platforms to ensure the scalability of AI solutions.
Leverage reusable assets and apply IBM standards for data science and development.
Project Support
Lead and contribute to various stages of AI and data science projects, from data exploration to model development.
Monitor project timelines and help resolve technical challenges.
Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
Collaboration
Ensure alignment with stakeholders’ strategic direction and tactical needs.
Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
Contribute technical expertise to cross-functional teams.
Required education
Bachelor's Degree
Preferred education
Master's Degree
A bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred
5+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions
Experience with data cleaning, data analysis, A/B testing, and data visualization
Experience with AI technologies through coursework or projects
Proficiency in SQL and Python for performing data analysis and developing machine learning models
Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch
Experience with cloud-based platforms and data processing frameworks
Understanding of large language models (LLMs)
Familiarity with IBM’s Watson product suite
Familiarity with object-oriented programming
Strong problem-solving aptitude and willingness to learn.
Ability to work with data sets and provide insight.
Introductory communication skill level with the ability to articulate technical concepts.
Strong desire for learning new and emerging technologies.
Good organizational skills; capable of managing multiple projects, understanding how to prioritize; ability to meet deadlines in a fast-paced environment.
Must have successfully finished the Coding Assessment.
Ability to demonstrate knowledge of recommended degrees and experience.
Data Science specialization in a degree.
Data Science specialization in degree.
IBM is a lot more than a technology company; it is a hub of innovation, curiosity, and impact across the globe. From bringing artificial intelligence to life to transforming industries through hybrid cloud, IBM is where science meets creativity and purpose. We have been reinventing ourselves since 1911, and we equip bold thinkers to tackle the problems that matter, create smarter businesses, and build a better tomorrow. At IBM, ideas are the currency, growth is continuous, and work can be perfect.
