Data Scientist - Advanced Analytics - Fresher

Overview

About the job:

Key responsibilities:

1. Design, build, and maintain scalable data pipelines and workflows to support both batch and real-time data processing.
2. Collaborate with cross-functional teams to select appropriate data management systems and identify critical data required for meaningful analysis.
3. Integrate data from disparate sources, resolve issues related to database integration, and transform complex, unstructured data sets into usable formats.
4. Implement and validate predictive models, and create and maintain statistical models for big data using appropriate statistical and machine learning techniques.
5. Design and implement enterprise search applications such as Elasticsearch and Splunk to meet client requirements and improve data discoverability.

Who can apply:

Only those candidates can apply who:

Salary:

Competitive salary

Experience:

0 year(s)

Deadline:

2025-12-27 23:59:59

Skills required:

Java, Data Analytics, Machine Learning, Data Science, Big Data Analytics, Artificial intelligence, Elasticsearch, Generative AI Development, Splunk, Design System and LLM evaluation

Other Requirements:

Required technical and professional expertise:

1. Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.

2. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another

3. Document solution architectures, design decisions, implementation details, and lessons learned.

4. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.

5. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation

Preferred technical and professional experience:

1. Experience and working knowledge in COBOL & JAVA would be preferred

Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus

2. Demonstrate a growth mindset to understand clients' business processes and challenges

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 ensure its continued relevance in the rapidly evolving digital landscape.