Note: The job is a remote job and is open to candidates in USA. Cognizant is a leading technology and engineering company working with top global pharmaceutical companies. They are seeking a motivated Entry-Level Engineer with a strong foundation in Python, data analytics, and Generative AI to analyze data and contribute to AI-driven solutions in the Life Sciences sector.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Company Overview