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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Entry-Level Engineer - Python, Data Analytics & Generative AI Life Sciences Commercial - **Company:** Cognizant Technology Solutions Corporation - **Location:** Bridgewater, NJ, United States - **Experience:** Starter - **Salary:** $65,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Databases, Data Cleansing, Data Visualization, Database Queries, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, Tableau (Software), Unstructured Data, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Git, Pandas, Matplotlib, Scikit Learn, Information Technology, HuggingFace, Data Analytics, Machine Learning Operations, Software Version Control, Software Library - **Published:** July 11, 2026 - **Apply:** https://dejobs.org/x/x/A5F3719753654DE0ACC41A93304E6712/job/ ## About the Role * Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related field * Strong proficiency in Python (e.g., NumPy, Pandas, Matplotlib/Seaborn) * Understanding of data analytics concepts, including data cleaning, exploratory analysis, and basic statistics * Exposure to modeling techniques such as regression, classification, or time-series analysis * Familiarity with Generative AI concepts, such as: * Large Language Models (LLMs) * Prompt engineering * APIs for GenAI platforms (e.g., OpenAI, Azure OpenAI, Hugging Face) * Basic knowledge of SQL and working with databases * Strong problem-solving, analytical, and communication skills Preferred / Nice-to-Have Skills * Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) * Hands-on experience through internships, academic projects, or personal projects * Familiarity with cloud platforms (Azure, AWS, or GCP) * Understanding of MLOps or model deployment concepts * Experience using Git or other version control systems * Exposure to data visualization tools (Power BI, Tableau, or similar) * Life Sciences Commercial experience / understanding of modeling techniques Location(s) New hires will be deployed to Cognizant office in Bridgewater, NJ (and willing to relocate) where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to these major geographic area. ## Description * Develop and maintain Python-based scripts and applications for data analysis and modeling * Collect, clean, and analyze structured and unstructured data from multiple sources * Build and evaluate statistical, predictive, or machine learning models * Assist in the development and experimentation of Generative AI solutions (e.g., LLM-based applications, prompt engineering, embeddings) * Create data visualizations and dashboards to communicate insights effectively * Collaborate with senior engineers, data scientists, and business stakeholders * Document code, models, and analytical findings clearly and thoroughly * Stay current with emerging trends in data analytics, AI, and Generative AI technologies * Hands-on experience working with real-world data and AI solutions * Mentorship from experienced engineers and data scientists * Opportunities to grow skills in Generative AI and advanced analytics * Collaborative and learning-focused work environment ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! 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