AI & Data Science Internship: Job Description

We are seeking multiple AI & Data Science Interns to join our team! Positions require knowledge in AI, Machine Learning, Deep Learning and Generative AI. Assurant provides an excellent learning environment for Interns. They will assist the Advanced Data Analytics team to develop deeper analytical tools for our clients and implement creative internal solutions for specific business problems.

In this opportunity the intern has the potential to gain experience, enhanced skill sets, and competencies that will make them more prepared for future roles:

Conduct Analysis/Development 80%

• Exposure to corporate environments
• Critical thinking & problem-solving Skills
• Hands-on experience in Python, Scala, R, SQL, SharePoint, Power BI/Tableau
• Process and analyze industrial level data on big data platforms including Hadoop, TensorFlow, Spark, CUDA and more
• Derive insights from enriched content data set that are actionable for the business
• Design, develop, and implement novel deep learning, computer vision and language modeling algorithms for unique use cases
• Develop Large Language Model/Generative AI capabilities and evaluate LLM models on statistical tests, business metrics and bias
• Design and build novel/custom neural networks architectures
• Evaluate accuracy and quality of the designed models as well as data sources

Project Management 20%

• Build PowerPoint presentations and present insights from given analyses to the leadership team
• Participate in brainstorm sessions in the development of new solutions
• Strong written and oral communication skills
• Assist in the development of process mapping, standard operating procedures and work instructions

Basic Qualifications:

• Minimum of 3rd year undergraduate in Engineering, Mathematics, Computer Science, Statistics, Business Management, Information Systems, or related program of study. Master’s (or higher) degree candidates will also be considered
• 2 years of strong Excel, Power BI/Tableau and PowerPoint experience
• Familiarity with Python or R and relevant libraries (NumPy, Pandas, Sciki-Learn, Matplotlib, Seaborn, etc.)
• Data cleaning and transformation capabilities
• General understanding of data science process flow
• Proficient with SQL Query language and relevant techniques (tables, indexing, filtering, joins, Window functions, etc.)
• Understanding of advanced Statistics, Probability, Machine and Deep Learning algorithms

Other skills:

• Ability to work in a team environment
• Excellent written and verbal communication skills
• Detail oriented and possess excellent follow up skills
• Must be organized and work well with constant priority changes
• Must be able to work independently with minimal supervision
• Professional demeanor
• Sustains a positive outlook and views challenges as opportunities
• Analytical/strategic thinker
• Ability to quickly learn new applications
• Ability to deal with ambiguity and the corresponding ability to quickly provide sound decisions and perform tasks with less than complete information

Preferred Qualifications:

• Strong hands-on capabilities, familiar with Windows and/or Linux operations systems and applications
• Proficient in one or multiple programming languages in Python, C++, Scala are preferred
• Experience in advanced data analytics and visualization tools including Microsoft Office Suite, Power BI/Tableau, Django, Flask, TensorFlow.js, etc.
• Experience in SQL/NoSQL, Digital Analytics, Machine learning, and knowledge of data management/warehousing are highly desired
• 1+ year of related work experience or equivalent project experience
• Experience with big data, deep learning frameworks and cloud computing platforms, like Spark, CUDA, TensorFlow, Keras, OpenCV, Azure, AWS, GCP
• Experience with containerization technologies in Docker and Kubernetes is a plus
• Research and development experience in the field of Prompt Engineering, Large Language Models (LLM) and Generative AI