Data Scientist

• Driving the adoption of emerging technologies to optimize and automate various business functions, keeping an AI-first approach with a digital experience.
• Enable best in class IT with enhanced cybersecurity measures to protect sensitive information and maintain regulatory compliance.
• Modernizing legacy systems and integrating disparate applications to improve interoperability and reduce technical debt.
• Collaborating with other departments and teams to align technology efforts with broader corporate objectives.
• Providing guidance and expertise on technology trends, best practices, and standards.

This team comprises professionals with diverse backgrounds in software engineering, data science, network architecture, and security. By fostering a culture of innovation and continuous improvement, the team strives to achieve its mission of making IBM the most productive company in the world.

Your role and responsibilities

Role Overview:

As an AI Engineer/SW Developer, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact.

Key Responsibilities:

1. Implement AI, Data Science, and Technical Execution:

• Support the 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, to analyze complex datasets and generate actionable insights.
• Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
• Collect, clean, and preprocess structured and unstructured datasets.
• Help refine data-driven methodologies for transformation projects.
• Learn and utilize cloud platforms to ensure the scalability of AI solutions.
• Leverage reusable assets and apply IBM standards for data science and development.
• Apply ML Ops and AI ethics.

2. Strategic Planning & Execution

• Translate business requirements into technical strategies.
• Ensure alignment to stakeholders' strategic direction and tactical needs.
• Apply business acumen to analyze business problems and develop solutions.
• Collaborate with stakeholders and team to prioritize work.

3. Project Management and Delivering Business Outcomes:

• Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
• Use agile strategies to manage and execute work.
• Monitor project timelines and help resolve technical challenges.
• Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.

4. Communication and Collaboration:

• Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
• Create compelling data visualizations and dashboards.
• Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.

Required education

Bachelor's Degree

Required technical and professional expertise

Experience:

Hands-on Experience with AI/ML technologies and statistical modelling through coursework, projects, or past internships or full-time positions. Participation in AI/Data-related summits will be an added advantage ( eg. Kaggle/Hackathons)

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

Technical Skills:

• Proficiency in SQL and Python for performing data analysis and developing machine learning models.
• Experience and/or coursework in statistics, machine learning, generative and traditional AI.
• 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.
• Familiarity with cloud-based platforms and data processing frameworks.
• Understanding of large language models (LLMs).
• Familiarity with object-oriented programming.
• Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
• Knowledge of APIs, Docker, Flask, or model serving technologies
• Experience with tools like Jupyter, Git, or cloud platforms (AWS, Azure, IBM Cloud)

Strategic and Analytical Skills:

• Strategic thinking and business acumen.
• Strong problem-solving abilities and eagerness to learn.
• Ability to work with datasets and derive insights.
• Attention to detail.

Communications and Soft Skills:

• Excellent communication skills, with the ability to explain technical concepts clearly.
• Independent and team oriented.
• Understands AI Ethics principles.
• Works openly and inclusively.
• Adaptable to fast-paced environments.
• Enthusiasm for learning and applying new technologies.
• Growth mindset.
• Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.

ABOUT BUSINESS UNIT

The IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM's financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualifiedapplicants will receive consideration for employment without regard to race,color, religion, sex, gender, gender identity or expression, sexualorientation, national origin, caste, genetics, pregnancy, disability,neurodivergence, age, veteran status, or other characteristics. IBM is alsocommitted to compliance with all fair employment practices regardingcitizenship and immigration status.

OTHER RELEVANT JOB DETAILS

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.

Client-provided location(s): Bangalore, India

Job ID: IBM-55070

Employment Type: OTHER

Posted: 2025-08-27T18:57:09