Data Scientist - Fresher

Overview

About the job:

Key responsibilities:

A. 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.

B. Strategic Planning & Execution
- Translate business requirements into technical strategies.
- Ensure alignment with stakeholders' strategic direction and tactical needs.
- Apply business acumen to analyze business problems and develop solutions.
- Collaborate with stakeholders and the team to prioritize work.

C. 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.
- Utilize agile strategies to manage and execute tasks effectively.
- Monitor project timelines and assist in resolving technical challenges.
- Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.

D. 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.

Who can apply:

Only those candidates can apply who:

Salary:

Competitive salary

Experience:

0 year(s)

Deadline:

2025-10-23 23:59:59

Skills required:

Machine Learning, Microsoft Azure, scikit-learn, Amazon Web Services (AWS), Flask, Artificial intelligence, APIs, OpenAI API, NumPy, Pandas, Matplotlib, Scipy, LLM evaluation and Python Libraries

Other Requirements:

A. Experience

- Hands-on experience with AI/ML technologies and statistical modeling through coursework, projects, or past internships or full-time positions. Participation in AI/data-related summits will be an added advantage (e.g., Kaggle/hackathons).

- 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.

B. Technical Skills

- Proficiency in SQL and Python for performing data analysis and developing machine learning models.

- Experience and/or coursework in statistics, machine learning, and 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 standard 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).

About Company:

International Business Machines (IBM), founded in 1911 and headquartered in Armonk, New York, is a global technology company specializing in AI, cloud computing, and enterprise solutions. With a revenue of $60 billion in 2023, IBM continues to drive innovation through its AI platform Watson, quantum computing research, and hybrid cloud solutions. In India, IBM has a strong presence, operating multiple research centers and collaborating with businesses on digital transformation projects. The company is also focused on cybersecurity, blockchain, and automation, making it a key player in the global IT ecosystem. IBM’s legacy of technological advancements and strong R&D investments ensures its continued relevance in the rapidly evolving digital landscape.