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# Data Science Consultant 1

- **Company:** Infosys
- **Location:** Tampa, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Cloud Computing, Data Mining, Relational Databases, Design of User Interfaces, Python (Programming Language), Machine Learning, Performance Tuning, SAS (Software), Large Language Models, Multi-Agent Systems, Deep Learning, Kubernetes, Data Analytics
- **Published:** September 2, 2026
- **Apply:** https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2251112

## About the Role

* Strong analytical and problem-solving mindset with hands-on model development skills., Experience in Generative AI and Large Language Models (LLMs)
Hands-on experience with agentic frameworks (multi-agent systems, tool-using agents, planners), Experience with LangChain / similar orchestration frameworks
Exposure to LLM fine-tuning, embeddings, vector databases
Experience building enterprise copilots or AI assistants
Familiarity with cloud-based GenAI platforms, * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

 * This position may require relocation and/or travel to work/project location.
 * All applicants authorized to work in the United States are encouraged to apply.

## Description

In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below:

 * Participate in data extraction, transformation, and preparation.
 * Resolve common data issues and ensure quality for model development.
 * Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
 * Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
 * Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
 * Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
 * Identify data sources and extract from RDBMS and develop UI/UX for client usage.
 * Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
 * Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
 * Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
 * Apply predefined quality measurement frameworks, if any, to individual project tasks.
 * Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.


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